509 Python Jobs in Hyderabad | Python Job openings in Hyderabad

Job Title : Head of AI / Forward Deployed AI Architect

Experience : 7+ Years

Job Location : Kokapet, Hyderabad

Working Model : Work From Office (5 Days a Week)

Working Days : Monday to Friday

Work Timings : 09:00 AM to 05:00 PM / 09:00 AM – 06:00 PM

Notice Period : Maximum 60 Days

Reporting To : CEO

About the Role :

We are looking for a highly experienced, hands-on Head of AI / Forward Deployed AI Architect who can lead the company's AI technology function and drive end-to-end AI solution delivery, from client discovery and solution architecture to development, deployment, and production success.

This is a strategic yet deeply technical and client-facing leadership position. The ideal candidate should have strong experience in AI/ML engineering, LLMs, Generative AI, agentic workflows, RAG architectures, and enterprise AI deployments, along with proven expertise in presales, solution consulting, and managing enterprise client relationships.

The person will work directly with the CEO, lead the technical department, establish project-based engineering pods, mentor AI engineers and consultants, and contribute to building the company's long-term AI architecture and technology strategy.

The company operates on a Services-to-Product (Services as Software) model, combining enterprise AI consulting, implementation, and reusable AI-powered solutions.

Mandatory Skills :

Python, Generative AI, LLMs, SLMs, RAG, Agentic AI, LangChain, LlamaIndex, Hugging Face, NLP, AI/ML, Multimodal AI, AWS / Azure / GCP, AI Solution Architecture, Production AI Deployment, Technical Presales, Enterprise Client Management, Team Leadership.

Key Responsibilities :

1. Enterprise Client Engagement & AI Consulting :

• Lead technical discovery sessions with enterprise and mid-market clients across global markets.
• Understand business challenges, operational pain points, data maturity, and AI readiness.
• Engage with CXOs, VPs of Operations, IT leaders, and other senior stakeholders as a trusted AI advisor.
• Conduct AI readiness assessments, technical workshops, and value-stream-mapping sessions.
• Translate ambiguous business requirements into practical AI use cases and implementation roadmaps.
• Build long-term client relationships that generate repeat business, referrals, and expanded engagements.

2. AI Solution Architecture & Presales :

• Own end-to-end solution design for AI consulting proposals, including use-case identification, technical architecture, data requirements, and ROI estimation.
• Develop and present technical PoCs, solution blueprints, architecture diagrams, and proposals.
• Work closely with commercial teams to create technically strong and commercially viable proposals.
• Lead technical responses to RFPs and RFIs.
• Define AI architecture patterns covering LLM orchestration, RAG pipelines, agentic AI workflows, and multimodal AI systems.
• Evaluate emerging AI frameworks, technologies, and research to identify opportunities for business adoption.

3. Hands-on AI Engineering & Deployment :

• Design, develop, and deploy production-grade AI/ML solutions using Python and modern AI frameworks.
• Build and optimize LLM applications, Small Language Models (SLMs), RAG pipelines, agentic systems, and multimodal solutions.
• Work on the complete AI lifecycle, including data ingestion, preprocessing, model development, orchestration, deployment, monitoring, and optimization.
• Handle production constraints, system integrations, scalability, performance, latency, and AI infrastructure costs.
• Optimize LLM token consumption, API credits, model usage, and overall solution economics.
• Troubleshoot production issues, improve system performance, and ensure successful client deployments.
• Drive go-live milestones, client acceptance, and post-deployment success metrics.

4. Technical Leadership & Team Development :

• Lead and develop the company's overall AI and technology department.
• Build a scalable project-based engineering pod structure for different client engagements.
• Define team structures, technical ownership, delivery responsibilities, and engineering standards.
• Recruit, mentor, and develop AI engineers, data scientists, and technical consultants.
• Guide teams on AI architecture, engineering best practices, client communication, and production delivery.
• Collaborate with engineering and data science teams to ensure technical feasibility and high-quality implementation.
• Establish reusable architecture patterns, internal frameworks, and solution accelerators.

5. Technology Strategy & Innovation :

• Define the company's long-term AI technology roadmap and architecture standards.
• Drive innovation across Generative AI, LLM applications, agentic workflows, RAG, and multimodal AI.
• Identify emerging technologies and frameworks that can improve solution delivery and business outcomes.
• Contribute to internal knowledge development through technical documentation, case studies, whitepapers, playbooks, and reusable AI accelerators.
• Help evolve the company's services business towards scalable, repeatable, product-oriented AI solutions.

Mandatory Skills & Experience :

1. Overall Experience :

• 7+ years of overall professional experience.
• Strong hands-on experience in AI/ML, Generative AI, NLP, Computer Vision, or advanced analytics.
• At least 4 years of experience in client-facing AI consulting, presales, solution architecture, or technical advisory roles.
• Proven experience working directly with enterprise-level clients.

2. Core AI & Technical Expertise :

• Strong programming experience in Python.
• Hands-on experience with LLMs, SLMs, and Generative AI applications.
• Experience building and deploying :
• RAG (Retrieval-Augmented Generation) pipelines.
• Agentic AI architectures and multi-agent workflows.
• LLM orchestration and application frameworks.
• Multimodal AI systems.
• NLP and advanced AI/ML solutions.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, or equivalent.
• Hands-on exposure to AWS, Azure, or GCP AI/ML services.
• Understanding of AI model deployment, monitoring, scalability, and production optimization.
• Strong understanding of API integrations, data pipelines, and enterprise system integration.
• Knowledge of LLM cost optimization, token usage, inference efficiency, and API credit management.

3. Presales & Solution Consulting :

• Proven experience in technical presales and AI solution consulting.
• Ability to lead technical discovery, use-case scoping, solution design, and ROI framing.
• Experience creating PoCs, technical demonstrations, architecture blueprints, and proposals.
• Experience responding to enterprise RFPs and RFIs.
• Ability to conduct workshops and AI readiness assessments.
• Strong communication and presentation skills, with the ability to explain complex AI concepts to business stakeholders.

4. Leadership & Client Management :

• Experience building and leading technical teams.
• Ability to establish project-based engineering pods and manage multiple delivery teams.
• Experience mentoring AI engineers, data scientists, and technical consultants.
• Strong ownership of project delivery, deployment, client acceptance, and business outcomes.
• Ability to manage ambiguity and work in a fast-paced startup environment.

5. Business & Industry Background :

• Experience working across both IT services/consulting and product-based environments.
• Preferably from AI/ML companies, data analytics firms, AI consulting organizations, data-platform companies, or B2B SaaS organizations.
• Experience in startup or growing organizations with 0-to-1 AI product or solution development exposure.
• Supply Chain AI, Manufacturing, Logistics, B2B SaaS AI, or MLOps experience will be an added advantage.

6. Educational Background :

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical discipline.
• Preferred institutions: IITs, BITS, NITs, and IIITs.
• Strong equivalent academic and professional credentials will also be considered.

Preferred Qualifications :

• Experience handling international clients across the US, Europe, Middle East, or Southeast Asia.
• Strong cross-cultural communication and stakeholder management skills.
• Experience in enterprise AI transformation and large-scale AI implementation.
• Exposure to Supply Chain, Manufacturing, Logistics, or Industrial AI use cases.
• Experience building AI teams and technical functions from an early-stage startup environment.

Ideal Candidate Profile :

The ideal candidate will be a hands-on AI technology leader with strong enterprise consulting and presales capabilities, who can independently own the complete AI engagement lifecycle.

The candidate should :

• Be equally comfortable discussing AI strategy with a CXO and building an AI solution hands-on.
• Have successfully taken AI solutions from initial client discovery to production deployment.
• Demonstrate strong technical depth rather than only high-level architecture or managerial experience.
• Have experience building and scaling technical teams.
• Be comfortable working in ambiguous, fast-moving startup environments.
• Demonstrate strong ownership, business understanding, communication, and problem-solving abilities.
• Be interested in a long-term technical leadership opportunity with equity participation.

Additional Information :

• This is a replacement position for the former AI Head / CTO.
• The company is an approximately one-year-old, self-funded startup with around 10 employees and positive operating performance.
• The position reports directly to the CEO.
• The organization follows a hybrid services-to-product business strategy, moving towards a Services-as-a-Software model.
• Five-day working week.
• Work timings : 09:00 AM to 05:00 PM or 09:00 AM to 06:00 PM.
• Work Location : Kokapet, Hyderabad.
• Candidates from any location across India can apply, provided they are open to relocating to Hyderabad.

Interview Process :

1. Initial Discussion : First-round discussion with the Founder or CFO to understand the candidate's background, experience, leadership capabilities, and expectations.
2. Technical Assessment : One or two technical rounds involving live scenarios to assess practical AI architecture, problem-solving, and hands-on technical expertise.
3. Final Interview : Mandatory face-to-face interview at the Hyderabad office.

Strong AI Forward Deployed Lead/Architect Profile owning the full journey from client discovery to production, hands-on and client-facing

2

Mandatory (Experience 1): Must have 7+ years of experience, with hands-on production AI/ML work (LLMs, NLP, computer vision or advanced analytics)

3

Mandatory (Experience 2): Must be deeply hands-on, able to build SLMs, agentic structures, RAG pipelines, LLM orchestration and multi-modal systems, and get into cost/credit optimisation detail, not just high-level oversight

4

Mandatory (Experience 3): Must have 4+ years client-facing as a trusted AI advisor to CXOs/VPs of Operations/IT leaders, with a proven presales/solution-consulting track record (technical discovery, use-case scoping, solution design, ROI framing, PoC demos, blueprints, RFP/RFI responses)

5

Mandatory (Experience 4): Must have run workshops, AI readiness assessments and value-stream-mapping sessions, navigated ambiguous problem spaces, and built long-term client relationships that lead to referrals and expanded mandates

6

Mandatory (Experience 5): Must have designed and deployed end-to-end AI systems (ingestion, pipelines, deployment, monitoring, iteration), owning production constraints, integration, change management, go-live, client acceptance and post-deployment success, owning outcomes and fixing what breaks

7

Mandatory (Experience 6): Must have worked directly with enterprise-level clients in a client-facing capacity

8

Mandatory (Experience 7): Must have built and led their own team, creating a pod structure per project, and mentored junior AI engineers and consultants

9

Mandatory (Tech skill 1): Must be hands-on with Python, LLM frameworks (LangChain/LlamaIndex/HuggingFace) and cloud AI (AWS/Azure/GCP)

10

Mandatory (Skill 1): Must have strong storytelling, making complex AI accessible to business audiences without dumbing it down, and define AI architecture patterns and bring emerging frameworks/research back to the team

11

Mandatory (Skill 2): Must take strong ownership, be genuinely enthusiastic and client-facing (not a pure-research or low-energy profile), thrive in ambiguity and 0 to 1 environments, and want to join long-term as part of the company (ESOP pool)

12

Mandatory (Company): Must have experience across both services and product (this is a services-plus-product hybrid; candidates keen on pure product only are not a fit)

13

Mandatory (Background): Must come from an AI/ML, data analytics or data-platform company with enterprise client delivery, ideally with startup or growing-company experience having seen AI build cycles in 0 to 1 / ambiguous environments; Supply Chain AI exposure, or manufacturing/logistics, B2B SaaS AI or MLOps background, a plus

14

Mandatory (Pedigree): Must have strong pedigree, ideally IIT, then BITS/NITs/IIITs, with a CSE/IT background; strong equivalent capability also considered

Title - AI Architect

Experience: 8–12 years

Location: Hyderabad (Hybrid)

Role Summary:

We P99Soft are looking for a senior AI Architect to own system-level design and architecture decisions across a portfolio of production AI initiatives. This role goes beyond assembling common frameworks - it requires the judgment to evaluate deep architectural trade-offs (model quality vs. size vs. cost, deterministic vs. generative approaches, and verification/testing strategy) and translate them into coherent, maintainable system architecture at scale.

Key Responsibilities:

• Define end-to-end system architecture and technical direction for AI-driven platforms, spanning retrieval-augmented generation, agentic/tool-using systems, vision and language model applications, and semantic search.
• Evaluate and own core architectural trade-offs: model quality vs. size vs. cost, deterministic vs. generative system design, latency and scalability, and the design of output-verification and evaluation harnesses.
• Provide technical leadership and design review across multiple concurrent initiatives, guiding implementation teams on build-out.
• Track and apply emerging AI/ML research and techniques where they meaningfully improve system design and reliability.
• Define the boundary between deterministic, verifiable system components and generative/agentic components based on the problem being solved.
• Serve as the technical escalation point for complex system-level issues — reliability, performance, or output-quality problems beyond routine debugging.

Required Experience & Skills:

• 8–12 years of overall engineering experience, including substantial hands-on depth in applied or foundational AI/ML system design - this is a non-negotiable baseline, not familiarity with AI tools as an end user.
• Demonstrated experience architecting AI/ML systems at production scale, beyond simple retrieval or prompt-based implementations.
• Strong grasp of trade-offs across model quality, size, cost, latency, and determinism, and how these decisions shape system architecture.
• Working knowledge of current and emerging generative AI / LLM techniques and research directions, and the ability to evaluate when they are appropriate to apply.
• Experience architecting one or more of: retrieval-augmented generation pipelines, agentic/tool-using systems, vision models, semantic search, or automated verification and evaluation systems.
• Comfort operating across multiple concurrent initiatives and translating research-adjacent concepts into buildable, production-grade systems.

Nice to Have:

• Experience in domains with strong internal-tooling or quality/verification requirements.
• Exposure to developer-facing tooling or code-analysis systems.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance.
• Paid time off and flexible working hours.
• Professional development opportunities and support for continuing education.
• Udemy Learning Licenses to enhance skills and stay up-to-date with the latest technology.

P99Soft is an Equal-Opportunity Employer

P99Soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Life @ P99Soft

At P99soft, we believe in creating a work environment that balances professional excellence with personal well-being. Our vibrant office culture is built on mutual respect, inclusivity, and a shared passion for innovation. We host regular team-building activities, workshops, and social events to foster a sense of community and collaboration among our employees. Join us and be part of a team that values your contributions and supports your growth.

About Us

P99soft is a leading IT Services and IT Consulting company dedicated to making our customers' business operations seamless by providing them with digital services and applications using the latest technologies. We are committed to bringing excellence to all our creations. We need passion, empathy, and being customer-focused to achieve technical excellence. We believe in transparency through open communication and work with honesty and integrity while dealing with our customers and partners.

Our Vision: “To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.”

Our Mission: “To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.”

Journey towards digital transformations begins here. Our talented teams help you make informed decisions, enhance operation efficiencies, create state-of-the-art visual interfaces, and design dynamic workflows to bring a better customer experience. Our engineering teams take complete ownership of assigning the right talent and architecting solutions using the latest technologies.

Title: AI Engineer - Product & Adoption Capability

Experience: 4-7 years

Location: Hyderabad

Mode of work: Hybrid

Role Summary:

P99Soft is hiring for an applied AI engineering role that also requires GTM-type capability - the ability to think about how AI tools actually get adopted by end users, not a dedicated go-to-market or marketing title. The engineer is expected to understand user workflows, spot adoption barriers, and shape how tooling gets rolled out, while remaining hands-on with applied AI work day to day.

Key Responsibilities:

• Build and support the rollout of AI-powered tools, driving awareness, onboarding, and adoption among target end users.
• Understand and map user workflows to identify where and why adoption of new AI tooling breaks down, and design solutions to close those gaps.
• Partner closely with engineering and architecture stakeholders to translate what's technically possible into what users will actually adopt and use.
• Gather and synthesize user feedback to inform product decisions and prioritization for the AI tooling roadmap.
• Apply hands-on applied AI knowledge to evaluate tool capability and limitations firsthand, rather than relying solely on engineering input.
• Communicate technical AI concepts to non-technical stakeholders in a way that drives buy-in and correct usage.

Required Experience & Skills:

• Applied, hands-on AI experience is non-negotiable - genuine exposure to building or working closely with generative/agentic AI systems, not just using AI assistants as an end user.
• Working GTM-type capability: comfort defining requirements, prioritizing based on user needs, and driving adoption of a tool - this can come from prior product exposure rather than a formal GTM title.
• Strong user empathy and the ability to identify practical adoption barriers for enterprise tools, distinct from purely technical blockers.
• Comfort operating with generative/applied AI systems (LLMs, agentic tools) as distinct from traditional data science approaches (regression, classification).
• Background can come from startup, founder, or self-taught paths — a traditional data science or enterprise pedigree is not required, provided applied AI fundamentals are genuinely strong.

Nice to Have:

• Some depth in AI systems internals (e.g., exposure to debugging model-serving or library/version compatibility issues) is a plus, though this role does not require building custom training pipelines from scratch.
• Experience operating in a regulated, quality-driven, or highly technical enterprise environment.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance.
• Paid time off and flexible working hours.
• Professional development opportunities and support for continuing education.
• Udemy Learning Licenses to enhance skills and stay up-to-date with the latest technology.

P99Soft is an Equal-Opportunity Employer

P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Life @ P99Soft

At P99soft, we believe in creating a work environment that balances professional excellence with personal well-being. Our vibrant office culture is built on mutual respect, inclusivity, and a shared passion for innovation. We host regular team-building activities, workshops, and social events to foster a sense of community and collaboration among our employees. Join us and be part of a team that values your contributions and supports your growth.

About Us

P99soft is a leading IT Services and IT Consulting company dedicated to making our customers' business operations seamless by providing them with digital services and applications using the latest technologies. We are committed to bringing excellence to all our creations. We need passion, empathy, and being customer-focused to achieve technical excellence. We believe in transparency through open communication and work with honesty and integrity while dealing with our customers and partners.

Our Vision: “To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.”

Our Mission: “To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.”

Journey towards digital transformations begins here. Our talented teams help you make informed decisions, enhance operation efficiencies, create state-of-the-art visual interfaces, and design dynamic workflows to bring a better customer experience. Our engineering teams take complete ownership of assigning the right talent and architecting solutions using the latest technologies.

Title - AI Integration Engineer

Experience: 2-5 years

Location: Hyderabad (Hybrid)

Role Summary:

We P99Soft are looking for an AI Integration Engineer who builds, deploys, runs, and optimizes agentic AI tools and pipelines. This role requires solid applied AI knowledge and some product understanding, but does not require building custom training pipelines or deep foundational research work - that responsibility sits with the AI Architect.

Key Responsibilities:

• Build, deploy, and run agentic AI tools and pipelines in production — retrieval-augmented generation systems, agentic bots, semantic search, and related tooling.
• Optimize existing AI tools for reliability, performance, and cost, working within an architecture defined by the AI Architect.
• Debug applied AI/systems issues as they arise in production, including model-serving failures and library/dependency or version compatibility problems.
• Collaborate with the AI Architect on implementation of system design decisions, and with product/GTM stakeholders on what's technically feasible to support adoption goals.
• Contribute to expanding tooling into adjacent areas as scope grows.

Required Experience & Skills:

• Applied, hands-on AI experience is non-negotiable — genuine experience building or integrating generative/agentic AI systems (LLMs, RAG, vision models), not just using AI assistants as an end user.
• Practical engineering skill in deploying and running AI systems in production — comfortable with the full build-deploy-optimize lifecycle for agentic tools.
• Some depth in AI systems internals — able to debug lower-level issues such as model serving cache failures or library/version compatibility problems, not just call existing APIs.
• Working understanding of generative/applied AI as distinct from traditional data science (regression, classification).
• Background can come from startup, founder, or self-taught paths — a traditional AI/data science pedigree is not required if applied AI fundamentals are genuinely strong.

Nice to Have:

• Some product understanding / awareness of how tools get adopted by end users, even though this is primarily an engineering role.
• Experience operating in a regulated, quality-driven, or highly technical enterprise environment.

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance.
• Paid time off and flexible working hours.
• Professional development opportunities and support for continuing education.
• Udemy Learning Licenses to enhance skills and stay up-to-date with the latest technology.

P99Soft is an Equal-Opportunity Employer

P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Life @ P99Soft

At P99soft, we believe in creating a work environment that balances professional excellence with personal well-being. Our vibrant office culture is built on mutual respect, inclusivity, and a shared passion for innovation. We host regular team-building activities, workshops, and social events to foster a sense of community and collaboration among our employees. Join us and be part of a team that values your contributions and supports your growth.

About Us

P99soft is a leading IT Services and IT Consulting company dedicated to making our customers' business operations seamless by providing them with digital services and applications using the latest technologies. We are committed to bringing excellence to all our creations. We need passion, empathy, and being customer-focused to achieve technical excellence. We believe in transparency through open communication and work with honesty and integrity while dealing with our customers and partners.

Our Vision: “To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.”

Our Mission: “To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.”

Journey towards digital transformations begins here. Our talented teams help you make informed decisions, enhance operation efficiencies, create state-of-the-art visual interfaces, and design dynamic workflows to bring a better customer experience. Our engineering teams take complete ownership of assigning the right talent and architecting solutions using the latest technologies.

Job Title: Senior QA Engineer

Location: Hyderabad (Hybrid)

Experience: 7+ years

Company & Team Overview

P99soft is a leading IT Services and IT Consulting company dedicated to making our customers’ business operations seamless by providing them with digital services and applications using the latest technologies. We are committed to bringing excellence to all our creations. We need passion, empathy, and being customer-focused to achieve technical excellence. We believe in transparency through open communication and work with honesty and integrity while dealing with our customers and partners.

Our Vision: “To lead digital transformation for our customers, delighting them at every step, while empowering our employees and fostering success.”

Our Mission: “To attain our objectives within a framework of integrity, transparency, and respect for our clients, employees, partners, and the community, fostering mutual trust and sustainable growth.”

Role Summary:

We P99Soft are looking for a Senior QA Engineer to champion a shift-left test automation culture. In this role, you will partner closely with software engineers, product managers, and DevOps teams to design, build, and maintain resilient UI and API automation suites across enterprise web applications, ServiceNow platforms, and cloud microservices.

Key Responsibilities:

Test Automation & Framework Engineering

• Design, build, and maintain scalable UI and API automation suites using Playwright, Selenium, or Postman.

• Develop and maintain automated end-to-end tests for enterprise workflows within the ServiceNow Automated Test Framework (ATF) across ITSM, HRSD, and custom service catalogs.

• Drive high automation coverage (targeting 75%–85%+) to enable rapid, confident release cadences.

Continuous Integration & Shift-Left Quality

• Integrate automated regression, sanity, and API test suites directly into GitLab CI/CD deployment pipelines.

• Implement automated quality gates to detect and resolve defects early in the SDLC.

• Partner with platform engineers to run reliable, parallelized test executions in cloud environments (AWS).

Agile Execution & Release Validation

• Analyze technical design documents, user stories, and acceptance criteria to create risk-based test plans and automated suites.

• Execute functional, integration, regression, and exploratory testing across enterprise web and API endpoints.

• Participate actively in Agile ceremonies (sprint planning, daily stand-ups, backlog refinement, retrospectives) and provide clear release sign-offs.

Metrics & Cross-Functional Collaboration

• Partner with distributed, global engineering teams to troubleshoot test failures and triage defects efficiently.

• Track and communicate quality indicators, including sprint automation progress, test pass rates, and defect escape metrics, via JIRA dashboards.

Qualifications & Requirements:

Education & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.

• Experience: 7+ years of dedicated software quality engineering experience with a strong focus on test automation.

Technical Skills (Required)

• Automation Frameworks: 5+ years of hands-on experience building and maintaining UI/API automation frameworks (Playwright, Selenium, Cypress, or RestAssured).

• ServiceNow Testing: Hands-on experience validating ServiceNow implementations, including familiarity with ServiceNow ATF and client/server scripts.

• API Testing: Proficient in automated testing of RESTful APIs, JSON payloads, and webhooks using tools such as Postman, Newman, or Python/Java HTTP libraries.

• Programming Languages: Proficiency in at least one modern language: JavaScript / TypeScript, Python, or Java.

• CI/CD & Source Control: Experience running automated test suites within GitLab CI or Jenkins, with solid command of Git version control.

• Agile Tooling: Solid working knowledge of Agile/Scrum methodologies, defect tracking with JIRA, and test management tools (e.g., TestRail, Zephyr).

Preferred Qualifications (Nice-to-Have):

• Experience managing test runners or test infrastructure on AWS, Azure, or GCP.

• Performance, load, or stress testing experience using Apache JMeter, k6, or Gatling.

• Exposure to enterprise identity management, SSO/SAML integrations, or workflow automation tools.

Core Competencies:

• Analytical Problem Solving: Quickly diagnoses root causes in multi-tier enterprise systems and creates targeted regression coverage.

• Quality Ownership: Proactive self-starter with high standards for software craftsmanship and end-user experience.

• Effective Collaboration: Strong verbal and written communication skills to articulate risks and collaborate seamlessly across global teams.

Benefits:

• Competitive salary and performance-based bonuses.

• Comprehensive health insurance.

• Paid time off and flexible working hours.

• Professional development opportunities and support for continuing education.

• Udemy Learning Licenses to enhance skills and stay up-to-date with the latest technology.

Equal Opportunity Employer

P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Life @ P99Soft

At P99soft, we believe in creating a work environment that balances professional excellence with personal well-being. Our vibrant office culture is built on mutual respect, inclusivity, and a shared passion for innovation. We host regular team-building activities, workshops, and social events to foster a sense of community and collaboration among our employees. Join us and be part of a team that values your contributions and supports your growth.

We are looking for an experienced SRE Production Support Engineer with strong expertise in production support, OpenShift cloud environments, application monitoring, and troubleshooting. The candidate should have hands-on experience with Tomcat, Python scripting, Splunk, OpenTelemetry, and basic networking concepts.

Key Responsibilities

• Provide production support for business-critical applications and ensure high availability and reliability.
• Monitor application performance, system health, and production environments.
• Troubleshoot and resolve application and infrastructure-related issues.
• Work with OpenShift environments to support cloud-native applications and deployments.
• Manage application server activities and troubleshooting using Apache Tomcat.
• Develop and maintain Python scripts to automate operational tasks.
• Monitor logs, identify issues, and perform troubleshooting using Splunk.
• Implement and support application observability using OpenTelemetry.
• Perform basic network troubleshooting, including connectivity, DNS, and communication issues.
• Participate in incident management, root cause analysis, and resolution of production issues.
• Collaborate with development, infrastructure, and cloud teams to maintain production stability.

Required Technical Skills

• Site Reliability Engineering (SRE) / Production Support
• OpenShift / Cloud Platforms
• Apache Tomcat
• Python Scripting
• Splunk
• OpenTelemetry
• Basic Networking and Troubleshooting
• Application Monitoring and Troubleshooting
• Incident Management and RCA

Job Description

We are looking for an experienced Python Developer with Generative AI (GenAI) expertise to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong Python development skills along with hands-on experience in LLMs, RAG pipelines, Agentic AI, and AI frameworks.

Core Mandatory Skills

• Strong experience in Python Development.
• Hands-on experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Experience building Retrieval-Augmented Generation (RAG) applications.
• Hands-on experience with LangChain and LangGraph.
• Good understanding of Agentic AI and AI Agents.
• Experience with FastAPI / Flask / Django.
• Strong knowledge of REST APIs and Microservices.
• Experience with Vector Databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
• Knowledge of Prompt Engineering, Embeddings, and Semantic Search.
• Experience with LLM integration, API development, and deployment.

Good to Have Skills

• Experience with OpenAI / Azure OpenAI / Gemini.
• Knowledge of AWS / Azure / GCP.
• Experience with Docker, Kubernetes, and CI/CD.
• Understanding of AI Agent orchestration, Tool Calling, and MCP.

Key Responsibilities

• Develop and maintain scalable Python-based applications.
• Build and integrate GenAI/LLM-powered solutions.
• Design and implement RAG pipelines and vector search solutions.
• Develop AI agents using LangChain / LangGraph.
• Integrate LLMs with enterprise applications through REST APIs.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Job Description

We are looking for an experienced .NET Developer with strong expertise in C#, .NET Core, ASP.NET Core, and Python. The candidate should have hands-on experience in developing, designing, and maintaining scalable applications, REST APIs, and microservices-based architectures.

Core Mandatory Skills

• C# Programming
• .NET Core
• ASP.NET Core
• Python
• REST API / Web API Development
• SQL Server
• OOPS Concepts
• Microservices Architecture

Key Responsibilities

• Design, develop, and maintain applications using C# and .NET Core.
• Build and maintain RESTful APIs and Web API services.
• Develop and integrate applications using Python.
• Work with SQL Server for database design, queries, and optimization.
• Apply OOPS concepts and coding best practices.
• Develop and maintain microservices-based applications.
• Troubleshoot, debug, and resolve application issues.
• Collaborate with cross-functional teams to deliver quality solutions.

Required Skills

• Strong programming knowledge in C# and .NET Core.
• Hands-on experience with ASP.NET Core and Web API.
• Working knowledge of Python development.
• Good understanding of SQL Server and database concepts.
• Strong understanding of OOPS principles.
• Experience with microservices architecture and REST API integration.

Job Summary

We are looking for a skilled .NET + Python Developer with hands-on experience in application development, backend services, and API integration. The candidate should have good programming knowledge in C#/.NET and Python, along with experience in developing scalable and efficient applications.

Key Responsibilities

• Design, develop, and maintain applications using .NET and Python.
• Develop backend services and RESTful APIs.
• Build and integrate application components.
• Work with databases and optimize application performance.
• Troubleshoot, debug, and resolve technical issues.
• Collaborate with cross-functional teams to understand business requirements.
• Participate in code reviews, testing, and deployment activities.
• Follow coding standards and best development practices.

Mandatory Skills

• 3–6 years of experience in software development.
• Strong hands-on experience in C# and .NET / .NET Core.
• Good hands-on experience in Python programming.
• Experience in REST API development and integration.
• Knowledge of SQL Server / MySQL / PostgreSQL.
• Strong understanding of OOP concepts and data structures.
• Experience with Git and version control.

Good to Have Skills

• ASP.NET Core and Entity Framework.
• Microservices architecture.
• Knowledge of Azure or AWS cloud platforms.
• Experience with Docker and CI/CD pipelines.
• Agile / Scrum methodology.

Job Summary

We are looking for an experienced Python Developer with strong expertise in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience building and deploying AI-powered applications using Python, LangChain/LangGraph, and FastAPI.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python.
• Build and implement Generative AI solutions using LLMs.
• Develop and optimize RAG-based applications and pipelines.
• Work with LangChain and LangGraph to build LLM-powered workflows and AI agents.
• Develop RESTful APIs and backend services using FastAPI.
• Integrate LLMs with enterprise applications, databases, and external services.
• Implement prompt engineering, context management, and response optimization.
• Work on vector databases and embedding models for semantic search.
• Ensure application scalability, performance, security, and reliability.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

Mandatory Skills

• Strong hands-on experience in Python development.
• Practical experience with Generative AI and LLMs.
• Strong understanding and implementation experience of RAG architecture.
• Hands-on experience with LangChain and/or LangGraph.
• Experience developing REST APIs using FastAPI.
• Good understanding of LLM integration and prompt engineering.

Good to Have Skills

• Experience with OpenAI, Azure OpenAI, or other LLM providers.
• Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
• Experience with embeddings and semantic search.
• Knowledge of Docker, Kubernetes, and cloud platforms (AWS/Azure).
• Exposure to AI agents and multi-agent systems.
• Experience with CI/CD and production deployment of AI applications.

Job Description:

We are looking for a skilled .NET + Python Developer with hands-on experience in developing, maintaining, and enhancing applications using .NET technologies and Python. The candidate should have good programming, debugging, and problem-solving skills.

Key Responsibilities:

• Develop and maintain applications using .NET technologies and Python.
• Design, develop, and integrate REST APIs.
• Work on backend development and application enhancements.
• Write clean, reusable, and optimized code.
• Identify and resolve application issues.
• Collaborate with cross-functional teams.
• Participate in code reviews, testing, and deployment activities.

Required Skills:

• Strong experience in .NET development.
• Hands-on experience with Python.
• Knowledge of REST APIs and Microservices.
• Experience with database integration and SQL.
• Good debugging and problem-solving skills.
• Immediate joiners only.

• We are seeking a high-velocity Senior Technical Lead with an overall experience
• of 12+ years in software engineering who thrives in an environment of autonomy
• and rapid iteration. At Nomiso, we don't just write code; we build resilient systems.
• This role is designed for a builder who embraces our core philosophy: Build, Ship,
• Measure, Improve. You will be responsible for taking features from a raw concept
• to a live environment, ensuring that every deployment delivers high technical
• excellence and system stability. You are not just an executor; you are a technical
• owner and system architect who understands that the "Ship" is only the midpoint of the system lifecycle.

What We’re Looking For (Who You Are)

● AI Systems Architect (5+ years in AI - LLM, RAG, Context Engineering, React, Prompt): You've shipped multiple production LLM systems at scale. Deep understanding of RAG, fine-tuning, prompt optimization, inference scaling, and cost management. You make pragmatic trade-offs between

accuracy, latency, and cost.You are accountable for the high quality solution and timely shipment of the feature as per committed timeline.

● Technical Lead Manager (TLM): In this role you will do 70% technical work and 30% people management & project management work. You've led engineering teams (4-8+ engineers). You grow engineers through mentoring, clear feedback, and ownership. You balance shipping speed with technical excellence and team development.

● The "Builder" Mentality: You have a bias toward action. You prefer a

working feature over a perfect specification and understand the value of

getting software into the hands of users early. You will not leave the tech

debt for a long time. Tech debt will be continuously addressed as product matures.

● Pragmatic Architect: You choose the right tool for the job, balancing

long-term scalability with the immediate need for speed and delivery.

● Cross-functional engagement: Partner with Product, QA, and Solution

Architects, Project manager to align execution with outcomes

● Continuous Learner: You view "Improvement" as a mandatory phase, not an optional one. You are eager to refactor and pivot based on objective evidence.

Requirement

AI Expertise

• LLM APIs (OpenAI, Anthropic, Hugging Face), model selection and trade-offs. RAG pipeline architecture, fine-tuning strategies, prompt engineering, Agentic patterns, multi-step reasoning, reliability under uncertainty

Fullstack depth

● Backend: Python (FastAPI,

Django) and Node.js (Express,

Nest.js)

● Frontend: React (TypeScript,

state management, performance

optimization)

● Databases: PostgreSQL (query

optimization, schema design,

scaling)

● Infrastructure: AWS (Lambda,

ECS, RDS, S3), Docker, CI/CD,

monitoring

Leadership

● Managed engineering teams

(4-8+ engineers)

Category Requirement

● Experience mentoring and

growing engineers

● Track record of building

high-performing teams

● Comfortable with ambiguity and

rapid decision-making

Experience 12+ years in a technical-focused

engineering environment.

Education Degree in CS or equivalent professional

experience.

You will operate within a cross-functional squad, collaborating daily with Solution

Architects and other engineering peers. You will ensure that features are released

safely and frequently, and own the success of the product, by analysing the

insights and user feedback. Our hierarchy is flat; you are expected to provide

technical leadership and mentorship to junior peers while having a direct line of

communication with leadership regarding technical strategy and technical debt.

Chief Engineer - Artificial Intelligence

AI Architecture | Production Engineering | LLM, RAG & Agentic AI

Primary objective: Build secure, scalable and reusable AI capabilities that move from experimentation to reliable production use across DocTutorials products and business functions.

Department

Technology & Product Engineering

Location

Hyderabad / Chennai

Reports to

Vice President - Technology

Experience

10+ years in software engineering, including 5+ years in AI/ML

Role Summary

The Chief Engineer - AI will define and lead AI engineering architecture, standards and production implementation. This is a senior, hands-on technical leadership role responsible for building reliable AI platforms and guiding AI engineers, data teams and application teams.

Key Responsibilities

1. AI Strategy and Architecture

·       Define the AI engineering strategy, architecture and technical roadmap.

·       Evaluate and select suitable models, frameworks, vector databases and AI platforms.

·       Make practical build-versus-buy and open-source-versus-commercial decisions.

·       Ensure AI solutions are modular, reusable, scalable, secure and cost-effective.

2. Production AI Engineering

·       Lead AI initiatives from use-case assessment and proof of concept through production deployment.

·       Build reusable AI services, APIs, pipelines and platform components for web, mobile and internal applications.

·       Establish development, testing, deployment, monitoring and production-support practices.

·       Resolve complex issues involving model quality, retrieval, performance, reliability and cost.

3. LLM, RAG and Agentic AI

·       Design LLM applications, enterprise RAG solutions and controlled AI-agent workflows.

·       Build document processing, chunking, embedding, indexing, retrieval and response pipelines.

·       Implement source traceability, human approval and clear permissions for sensitive use cases.

·       Improve response quality through prompt design, retrieval optimisation and evaluation.

4. AI Quality, Security and Responsible AI

·       Define evaluation standards for accuracy, relevance, groundedness, safety, latency and cost.

·       Introduce benchmark datasets and regression testing for prompts, models and retrieval pipelines.

·       Implement safeguards for hallucinations, unsupported responses, data leakage and unsafe actions.

·       Ensure role-based access, encryption, audit logging, secure secrets handling and approved data usage.

5. AI Platform and Integration

·       Create common AI capabilities and integration standards that can be reused across products and teams.

·       Integrate AI services with applications, databases and approved enterprise data sources.

·       Implement observability for model usage, quality, errors, response time and cost.

·       Reduce dependency on a single model provider, individual engineer or external vendor.

6. Technical Leadership and Team Development

·       Define AI engineering standards for architecture, coding, review, testing and documentation.

·       Remain hands-on through design reviews, critical code reviews, debugging and focused prototypes.

·       Mentor AI/ML engineers, data engineers and application teams; support hiring and capability building.

·       Work with Product and business teams to convert high-value problems into measurable AI solutions.

Required Skills and Experience

·       10+ years of software engineering experience, including 5+ years in practical AI/ML engineering.

·       Proven experience moving AI solutions from prototype to reliable production use.

·       Strong Python and production API development experience, preferably FastAPI.

·       Strong knowledge of LLMs, RAG, prompt engineering, embeddings and agentic AI.

·       Experience with vector databases such as pgvector, Qdrant, Milvus or Weaviate.

·       Experience with LangChain, LlamaIndex, Haystack or similar orchestration frameworks.

·       Knowledge of cloud architecture (preferably AWS), microservices, databases, queues and distributed systems.

·       Experience with Docker, Kubernetes, CI/CD, observability and production support.

·       Strong understanding of application security, data privacy and responsible-AI engineering.

·       Demonstrated technical leadership, mentoring and stakeholder-management capability.

Good-to-Have Experience

·       Healthcare, medical education, EdTech or digital-learning platforms.

·       Medical-content intelligence, knowledge graphs, ontologies, taxonomy or semantic search.

·       Clinical Case Library, personalised learning or recommendation systems.

·       Multi-modal AI involving text, audio, images or video.

·       Healthcare-data privacy, de-identification or standards such as SNOMED CT, ICD, HL7 or FHIR.

How Success Will Be Measured

·       Production adoption and measurable business or learner impact of AI capabilities.

·       Accuracy, groundedness, reliability, security and cost efficiency of AI solutions.

·       Reusable AI services delivered across products with reduced technical and vendor dependency.

·       Improved capability, engineering quality and ownership within the AI team.

We are looking for a hands-on AI engineering leader who can distinguish a valuable production capability from an attractive demo and build AI that is secure, scalable, measurable and maintainable.

We're hiring an AI/ML Mentor Intern for a well-established AI and data science training institute in KPHB, Hyderabad. Immediate joining.

What you'll do

• Mentor students in Python, machine learning, deep learning, NLP and computer vision

• Run doubt-clearing sessions, lab practicals and code reviews

• Help students build and debug real projects

• Prepare assignments, notebooks and assessments

Skills we're looking for

• Strong Python (NumPy, Pandas, scikit-learn)

• ML: regression, classification, clustering, model evaluation

• Deep learning with TensorFlow or PyTorch (CNNs, RNNs, Transformers)

• NLP and computer vision basics (OpenCV, Hugging Face)

• Statistics and probability

• Clear communication and patience in explaining concepts

Compensation: Up to ₹25,000 per month, based on performance. Internship leading to a full-time role.

Selection: online screening, technical interview, HR discussion.

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

Key Responsibilities:

Architecture & Platform

• Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
• Lead IaC standards and reusable modules org-wide; own GitOps practices
• Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

• Define and drive reliability targets (SLOs/SLIs); establish SRE practice
• Lead incident management, RCA, and blameless post-mortems for critical systems
• Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

• Lead AI/ML inference and GPU infrastructure scaling in production
• Evaluate and introduce AI tooling, platforms, and automation best practices
• Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

• Mentor L1/L2 engineers; influence cross-team infrastructure decisions
• Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
• Evaluate and introduce new tooling and platforms

Key Requirements:

• 4–8 years infrastructure/platform/DevOps/SRE
• Deep expertise in AWS & GCP large-scale production systems
• Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
• AI/ML inference or GPU infrastructure scaling (production track record)
• Strong Terraform / equiv. and GitOps practices
• Python, Go, or Bash scripting and automation
• Track record in scale, reliability, and cost efficiency
• Lead incident response and on-call practices

Nice-to-Have

• LLM Gateway architecture and optimization
• Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
• DevSecOps maturity: SBOM, supply-chain security, policy-as-code
• Open-source contributions or platform-team leadership

Why This Role?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team
• Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering

About the Role

We are looking for an AI/ML Engineer with 4+ years of Strong hands-on experience building and deploying production-grade AI systems. The ideal candidate should have strong expertise in Computer Vision, Generative AI, RAG pipelines, Voice AI, and LLM-powered applications, with experience delivering scalable, production-ready solutions across enterprise, healthcare, or SaaS environments

Key Responsibilities

• Design, develop, and deploy production-ready AI/ML and Generative AI applications, Computer Vision solutions.
• Build and optimize LLM-powered applications for real-world business use cases.
• Develop and maintain RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
• Build Voice AI solutions including speech-to-text (STT), text-to-speech (TTS), conversational AI, and voice-enabled assistants.
• Create and optimize prompt engineering strategies to improve LLM output quality, consistency, and reliability.
• Work with open-source LLMs for inference, fine-tuning, evaluation, and deployment.
• Implement model monitoring, evaluation, guardrails, and performance optimization.
• Collaborate with DevOps and cloud teams for scalable deployments.
• Optimize AI systems for latency, cost, scalability, and production performance.
• Integrate AI services through APIs and enterprise applications.

Required Skills & Experience

• 4+ years of experience in AI/ML engineering and production deployments.
• Strong experience in Python and AI/ML development.
• Hands-on experience with Generative AI and LLM applications.
• Strong hands-on experience in Computer Vision using Python and frameworks such as OpenCV, PyTorch, and TensorFlow.
• Experience with Computer Vision tasks such as object detection, image classification, image segmentation, and feature extraction.
• Familiarity with models and libraries such as YOLO, Detectron2, MMDetection, and torchvision.
• Experience with image preprocessing, data augmentation, model training, evaluation, and inference optimization.
• Exposure to OCR technologies such as Tesseract or EasyOCR and vision-based deep learning models is an advantage.
• Experience building RAG pipelines using:
• Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB, Milvus
• Embeddings and retrieval optimization
• Experience with Prompt Engineering techniques for LLM optimization.
• Experience with Open Source LLMs such as:
• Llama, Mistral, Falcon, Gemma, DeepSeek, Qwen
• Experience with Voice AI technologies:
• Speech-to-Text (Whisper, Deepgram, Google STT)
• Text-to-Speech (ElevenLabs, Azure Speech, Amazon Polly)
• Conversational Voice Agents
• Experience using frameworks/tools:
• LangChain, LangGraph, LlamaIndex, Hugging Face
• Understanding of fine-tuning, model evaluation, inference optimization, and AI observability.
• Experience deploying applications using:
• Docker, Kubernetes, CI/CD
• AWS / Azure / GCP

Preferred Qualifications

• Experience delivering AI solutions for Healthcare, Enterprise, or SaaS platforms.
• Exposure to MLOps practices and model lifecycle management.
• Understanding of AI governance, security, and responsible AI practices.
• Experience integrating AI with APIs and production services.

Nice to Have

• Knowledge of agentic AI workflows and orchestration.
• Experience with monitoring and evaluation frameworks.
• Exposure to multimodal AI applications

Education Qualifications

• B.Tech / M.Tech in CSE / IT / AI&ML only from good college.

Job Description:

We are looking for an experienced Production Support Engineer to support our Internet Banking Application. The candidate will be responsible for application production support, release deployments, middleware operations, monitoring, and incident management to ensure high availability, stability, and performance of banking applications.

Responsibilities:

• Provide production support for Internet Banking Applications and ensure high availability.
• Manage release deployments and middleware operations in coordination with development and operations teams.
• Monitor application performance using Splunk, AppDynamics, and Grafana.
• Handle incident management, troubleshooting, root cause analysis, and timely issue resolution.
• Support OS patching and routine system maintenance activities.
• Collaborate with cross-functional teams to improve application stability and performance.
• Maintain technical documentation, troubleshooting procedures, and support processes.
• Participate in on-call support rotations as required.

Mandatory Skills:

• Application Production Support experience in banking or financial services.
• Strong knowledge of middleware technologies and operations.
• Hands-on experience with Splunk, AppDynamics, and Grafana.
• Good understanding of incident management and troubleshooting.
• Knowledge of OS patching and system maintenance.

Preferred Skills:

• Cloud infrastructure and operations experience.
• Scripting knowledge in Python or Bash.
• Understanding of ITIL processes and best practices.
• Strong analytical, problem-solving, communication, and collaboration skills.

Job Summary:

We are looking for an experienced Java Application Production Support Engineer / Java SRE with strong expertise in application support, Unix, Oracle, and OpenShift. The candidate will be responsible for production monitoring, troubleshooting, performance optimization, and automation to ensure high availability and stability.

Mandatory Skills:

• Java Application Production Support / SRE
• Unix/Linux and Oracle Database
• OpenShift (OCP)
• SQL
• Splunk and AppDynamics
• Autosys
• Python scripting
• Grafana monitoring and dashboards

Responsibilities:

• Handle production incidents, troubleshooting, and root cause analysis.
• Monitor application performance using Splunk, AppDynamics, and Grafana.
• Support Java applications deployed on OpenShift.
• Manage SQL queries, batch jobs, and automation scripts.
• Collaborate with teams to improve system reliability and availability.

{ contact No: 8 9 2 5 8 0 2 4 5 7 } , pavithra.e @vysystems. com

Job Description – Java Full Stack + DevOps Developer

Job Title: Java Full Stack + DevOps Developer

Experience: 8+ Years

Location: Bangalore / Hyderabad

CTC: Up to 30 LPA

Notice Period: Immediate to 20 Days

Mandatory Skills

• Java
• Java Full Stack Development
• Angular or React
• Python
• DevOps
• CI/CD

Roles & Responsibilities

• Design, develop, and maintain scalable Java Full Stack applications.
• Develop robust backend services using Java and related frameworks.
• Build responsive and reusable frontend applications using Angular or React.
• Develop and integrate REST APIs between frontend and backend systems.
• Use Python for automation, scripting, and application support as required.
• Implement and maintain DevOps practices across the application lifecycle.
• Design, configure, and maintain CI/CD pipelines for automated build, deployment, and release processes.
• Collaborate with development, QA, DevOps, and other cross-functional teams.
• Troubleshoot application and deployment issues and optimize system performance.
• Follow coding standards, security practices, and software development best practices.
• Participate in code reviews and provide technical guidance to team members.

Candidate Profile

• 8+ years of strong experience in Java Full Stack Development.
• Strong hands-on experience with Java and Angular or React.
• Good working knowledge of Python.
• Strong understanding of DevOps and CI/CD practices.
• Experience working across development, deployment, and automation activities.
• Strong problem-solving and communication skills.
• Candidates available to join immediately to 20 days are preferred.

GCP Data engineer

Exp 9+yrs

Bangalore/Hyderabad

Lead exp+ Python + pyspark + sql or plsql

immediate to 15days joiners

Call or WhatsApp: 6 3 8 5 0 7 6 1 4 2

Roles & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.
2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.
3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.
4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.
5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.
6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.
7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

1. Strong Automation Architect Profile with cloud-based automation strategy and framework architecture
2. Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6 years focused continuously on hands-on automation, including automation strategy and framework architecture
3. Mandatory (Experience 2) – Must have hands-on expertise building automation using industry automation tools and frameworks.
4. Mandatory (Experience 3) – Must have a proven record designing scalable automation solutions and leading automation initiatives end to end.
5. Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
6. Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
7. Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
8. Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
9. Mandatory (Title) – Current title must include "Architect". Candidates currently titled Automation Engineer, QA Automation Lead, DevOps Engineer, Cloud Engineer, or other non-architect profiles will not be considered
10. Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
11. Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)

Hiring: 10 openings for Associate Data Forward Deployed Engineer (0–2 yrs) for a fast-growing AI platforms & services company, Hyderabad (confidential client) via Ziro.digital.

Location: Hyderabad (onsite, full-time). Open to candidates from anywhere in India willing to relocate. Experience: 0–2 years. 2024/2025/2026 graduates welcome (B.Tech/B.E/MCA/M.Sc CS/IT or related).

What you'll do: build data pipelines end to end (ingest, transform, model, deliver), work with clients on their data, and use AI for query generation, data quality and debugging.

Must have: strong SQL (write, read, tune); Python for data; SQL Server and/or Postgres; at least one end-to-end data pipeline; data-analysis fundamentals; a GitHub with data projects.

Good to have: S3/Azure Blob, Airflow/mage.ai, DBT/Fabric, Snowflake/Databricks/BigQuery, GitLab CI/CD, Grafana, LLM/RAG awareness.

Compensation & terms: 6-month paid internship at ₹20,000/month, then ₹7 LPA CTC on conversion. Relocation to Hyderabad required.

Selection: Ziro assessment (Communication, Technical, AI interview, Coding), then the company's rounds (aptitude, AI screening, project build, in-office hackathon, technical panel, leadership).

Apply by Wed 21 Oct 2026.

Screening questions (please answer in your application):

1) Willing to relocate to Hyderabad and work onsite?

2) Do you accept a 6-month internship at ₹20k/month, then ₹7 LPA?

3) GitHub link + one project you built.

4) Graduation year, current city, notice period.

Openings: 30

Hiring for a fast-growing AI platforms & services company, Hyderabad via Ziro.digital. Location: Hyderabad (onsite). Open to candidates from anywhere in India who are willing to relocate. Experience: 0–2 years; 2024/2025/2026 graduates welcome (B.Tech/B.E/MCA/M.Sc CS/IT or related).

What you'll do: build and ship end-to-end AI solutions on agentic AI platforms, work directly with clients, and own work from first commit to production.

Must have: strong Python plus one more language; full-stack (front end + back end); complex SQL; REST APIs; a working AI app you can demo (RAG, agent or LLM integration); a GitHub with shipped projects.

Good to have: TypeScript, AWS/GCP, Docker/Kubernetes, vector DBs (Pinecone/Weaviate/pgvector), LangChain/LangGraph/CrewAI/LlamaIndex, LLM evaluation, MLOps.

Compensation & terms: 6-month paid internship at ₹20,000/month, then ₹7 LPA CTC on conversion. Relocation to Hyderabad required.

Selection: Ziro assessment (Communication, Technical, AI interview, Coding), then the company's rounds (aptitude, AI screening, project build, in-office hackathon, technical panel, leadership).

Apply by Wed 21 Oct 2026.

Screening questions:

1) Willing to relocate to Hyderabad and work onsite?

2) Do you accept a 6-month internship at ₹20k/month, then ₹7 LPA?

3) GitHub link + one project you built.

4) Graduation year, current city, notice period.

GCP Data engineer (L1 virtual, L2 or DM F2F )

GCP + Python + Pyspark + sql + Lead

8+yrs

Bangalore/hyderabad location ( relocation profiles also from Chennai pune location)

immediate to 15days

Job Title: AI-Native Full-Stack Developer Experience: 3+ years Location: Hyderabad, India (Hybrid) Type: Full-time About the Role Build and deliver SaaS platforms, web applications, and mobile apps using an AI-native development approach at Incepteo Labs. You'll work with LLMs, generative AI frameworks, and modern full-stack technologies to ship secure, production-grade products for global customers. This role is for a hands-on developer who thrives in a fast-paced environment, writes clean and secure code, and is passionate about leveraging AI to build better products faster. You'll collaborate with experienced leads and global clients to deliver solutions that scale. What You'll Do • Build and deliver full-stack solutions — SaaS platforms, web apps, and mobile applications — using an AI-native development approach • Develop AI-powered features using LLMs, RAG pipelines, agentic AI patterns, and frameworks such as LangChain and LangGraph • Implement secure payment gateway integrations, subscription billing, and pricing plan management across products • Write high-quality, secure code with a strong focus on cybersecurity — addressing OWASP vulnerabilities, data protection, and secure authentication patterns • Collaborate with global customers and internal teams via clear documentation, video calls, and presentations • Embed AI tools across the development lifecycle — code generation, testing, documentation, and deployment • Stay current with AI/ML trends, LLM advancements, and emerging security threats What We're Looking For • 3+ years of full-stack development experience with shipped products • Proficiency in modern stacks — React, Python, Node.js, TypeScript, and cloud platforms (AWS/GCP/Azure) • Hands-on experience with LLMs, generative AI, and frameworks like LangChain, LangGraph — understanding of RAG, context management, memory, and prompt engineering • Experience integrating payment gateways (Stripe, Razorpay, or similar) and building pricing/subscription models • Strong understanding of cybersecurity principles — secure coding practices, vulnerability assessment, OWASP Top 10, and data protection • Good communication skills — comfortable on client calls and writing clear documentation • Experience working in a startup or fast-paced environment • Self-starter with curiosity for emerging technologies and AI trends Why Incepteo Labs Incepteo Labs is a digital and AI innovation partner with a presence across the UK, India, USA, and Europe. You’ll be joining a fast-growing company that brings together startup agility with enterprise-grade delivery standards. At Incepteo, we believe in ownership, collaboration, and bringing ideas to life. Creative, energetic global company with a portfolio of exciting brands

🚀 Hiring: Senior GCP Data Engineer

We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.

📌 Job Details:

• Role: Senior GCP Data Engineer
• Experience: 8+ Years
• Budget: Up to ₹30 LPA
• Location: Bangalore / Hyderabad
• Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
• Notice Period: Immediate to 15 days
• Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)

💻 Required Technical Skills:

• Strong hands-on experience with GCP data engineering.
• Excellent proficiency in Python, PySpark, and SQL.
• Experience in designing, developing, and optimizing data pipelines.
• Good understanding of ETL/ELT processes and large-scale data processing.
• Experience working with cloud-based data platforms and data warehousing.
• Strong analytical, problem-solving, and communication skills.

⭐ Preferred Skills:

• Previous experience as a Technical Lead or leading a data engineering team.
• Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.

We are looking for a skilled and driven E-Commerce Full-Stack Developer to join our development team at Catedge Blockchain AI Development Pvt Ltd. You will take ownership of building, scaling, and optimizing high-performance e-commerce applications, ensuring seamless user experiences, secure checkout flows, and robust backend architecture.

Key Responsibilities

• Full-Stack Development: Develop and maintain robust e-commerce features, product catalogs, user accounts, and checkout workflows using Django, Python, JavaScript, HTML, and CSS.
• Database Management: Architect scalable databases, manage PostgreSQL, and optimize queries for high-volume transactions and product data.
• API Integration: Build and integrate secure RESTful APIs for seamless frontend-backend communication and third-party service integration.
• Performance & Caching: Implement caching strategies using Redis to enhance application speed, page load times, and overall performance.
• Cloud & DevOps: Oversee AWS infrastructure deployment, server management on Linux environments, and scaling workflows.
• Security & Optimization: Ensure application security, protect user data, and optimize conversion funnels.

Requirements & Technical Stack

• Experience: 2 to 5 years of professional hands-on experience in full-stack web development.
• Backend: Deep proficiency in Python and Django web framework.
• Frontend: Strong command of JavaScript, HTML, and CSS.
• Databases & Caching: Solid working knowledge of PostgreSQL and Redis.
• Infrastructure: Experience with Linux server administration, cloud deployment, and AWS services.
• Bonus: A strong portfolio or live links showcasing previous e-commerce or complex web applications.

Job Description – .NET + Python Developer

Position: .NET + Python Developer

Experience: 3–6 Years

Location: Bangalore / Hyderabad

Budget: Up to 10 LPA

Notice Period: Immediate Joiners Only

Hiring Contact: HR Sudhir

Job Summary

We are looking for skilled .NET + Python Developers with 3–6 years of experience in designing, developing, and maintaining scalable applications. The ideal candidate should have strong hands-on experience in .NET technologies and Python programming, along with good problem-solving and analytical skills.

Key Responsibilities

• Design, develop, test, and maintain applications using .NET technologies.
• Develop backend services, APIs, and business logic using C# and ASP.NET Core.
• Build automation scripts and backend solutions using Python.
• Work with REST APIs, databases, and third-party integrations.
• Write clean, reusable, and efficient code.
• Debug issues, troubleshoot applications, and optimize performance.
• Collaborate with cross-functional teams to deliver quality solutions.

Required Skills

• 3–6 years of experience in software development.
• Strong knowledge of .NET / .NET Core and C#.
• Hands-on experience with Python programming.
• Experience in REST API development and integration.
• Knowledge of SQL Server or other relational databases.
• Understanding of OOP concepts, data structures, and design principles.
• Good communication and problem-solving skills.

Job Summary

We are looking for an experienced Python Developer for the position of Delivery Module Lead. The ideal candidate should have strong hands-on experience in Python programming, front-end technologies, and back-end development. The candidate will be responsible for developing scalable web applications, integrating APIs, and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, and maintain scalable web applications using Python and front-end technologies.
• Collaborate with product managers, designers, and developers to understand business requirements and implement solutions.
• Develop responsive user interfaces and optimize application performance across different browsers and devices.
• Write clean, reusable, and maintainable code following development best practices.
• Conduct code reviews and ensure code quality and standards.
• Debug, troubleshoot, and resolve application issues.
• Develop and integrate RESTful APIs and web services.
• Participate in Agile development activities, including sprint planning, daily stand-ups, and retrospectives.
• Continuously improve development processes and stay updated with emerging technologies.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with HTML, CSS, and JavaScript.
• Experience with front-end frameworks such as React, Angular, or Vue.js.
• Experience with back-end frameworks such as Django or Flask.
• Good understanding of RESTful APIs and web services.
• Experience with Git and version control systems.
• Strong problem-solving and analytical skills.

Preferred Skills

• Knowledge of databases such as PostgreSQL, MySQL, or MongoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker and containerization technologies.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with Agile methodologies and project management tools.

# Urgent Hiring – Software Testing Professionals | 15 Openings

**Job Location:** Chennai | Bangalore | Hyderabad

**Experience:** 5+ Years (Mandatory)

**Notice Period:** Immediate Joiners to 30 Days

**Interview Mode:** 1 Mandatory Face-to-Face Round

**Total Openings:** 15

## Open Positions

We are actively looking for experienced professionals in the following technologies:

**1. Mobile Automation Testing**

- Experience in mobile application testing

- Strong knowledge of Appium, Android/iOS testing and automation frameworks

**2. SDET (Software Development Engineer in Test)**

- Strong programming and automation testing skills

- Experience in test framework design, API testing and CI/CD integration

**3. Playwright Automation Testing**

- Hands-on experience with Playwright using JavaScript/TypeScript

- Strong knowledge of UI automation and framework development

**4. Cypress Automation Testing**

- Experience in Cypress automation with JavaScript

- Knowledge of web application testing, API testing and CI/CD

**5. Python + Robot Framework**

- Strong Python programming skills

- Hands-on experience in Robot Framework automation

- Experience in test scripting, execution and debugging

## Mandatory Eligibility Criteria

- Minimum 5 years of relevant IT experience

- Notice period must be Immediate to 30 days

- Willingness to attend one face-to-face interview

- Preferred locations: Chennai, Bangalore and Hyderabad

## How to Apply

Interested candidates can apply with their updated resumes.

**Please share the following details:**

- Full Name

- Total Experience

- Relevant Experience

- Current CTC

- Expected CTC

- Notice Period

- Current Location

- Preferred Location

- Updated Resume

**Immediate joiners and candidates serving notice period are encouraged to apply.**

Apply now or DM for more information!

** #UrgentHiring #SDET #Playwright #Cypress #MobileTesting #PythonAutomation #RobotFramework #AutomationTesting #SoftwareTesting #ITJobs**

Job Description:

We are looking for an experienced Python Full Stack Developer with strong expertise in Python, Django, React.js, HTML, JavaScript, and RESTful APIs. The ideal candidate should have experience developing scalable web applications, building backend services, and integrating frontend components with backend APIs.

Key Responsibilities:

• Develop and maintain web applications using Python and Django.
• Build responsive user interfaces using React.js, HTML, and JavaScript.
• Design, develop, and integrate RESTful APIs.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot issues and optimize application performance.
• Python
• HTML
• JavaScript
• React.js
• Django
• RESTful APIs

1st virtual , 2nd round F2F -

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Job Description: Python Full Stack Developer – GenAI / Agentic AI

Experience: 7+ Years

Location: Hyderabad

Budget: ₹38–40 LPA

Job Summary

We are looking for an experienced Python Full Stack Developer with strong hands-on experience in Python and React.js, along with exposure to Generative AI (GenAI) and Agentic AI. The ideal candidate should be capable of developing scalable backend services, building responsive frontend applications, and integrating AI-powered solutions.

Key Responsibilities

• Develop and maintain backend services, REST APIs, and microservices using Python.
• Build responsive and user-friendly web applications using React.js.
• Integrate frontend applications with backend APIs and third-party services.
• Develop, test, debug, and optimize full-stack applications.
• Work with Generative AI and Agentic AI solutions, including AI agent integration and AI-powered application development.
• Understand existing AI code, troubleshoot issues, and contribute to implementation and enhancement of AI features.
• Work with cloud platforms such as Google Cloud (GCP), AWS, or Microsoft Azure for application deployment.
• Collaborate with cross-functional teams to deliver scalable and reliable solutions.

Mandatory Skills

• 7+ years of overall software development experience.
• Strong hands-on experience in Python development.
• Hands-on experience with React.js and frontend development.
• Experience developing REST APIs and microservices.
• Knowledge of API integration, responsive design, and application testing.
• Understanding of cloud deployment using GCP, AWS, or Azure.

Preferred Skills – GenAI / Agentic AI

• Exposure to Generative AI or Agentic AI concepts and applications.
• Familiarity with AI agents, LLM integration, and AI-powered application development.
• Knowledge of frameworks such as LangChain or LangGraph is an advantage.
• Ability to understand existing AI code and contribute to AI-related development.
• Willingness to learn and work on Agentic AI implementation as part of the development team.

Ideal Candidate Profile

Candidates with strong Python + React.js full-stack development experience and partial hands-on exposure to GenAI or Agentic AI are welcome. Deep expertise in Agentic AI is not mandatory; candidates should have a basic understanding of AI concepts and the ability to work with existing code.

Location: Hyderabad

Experience: 7+ Years

Budget: ₹38–40 LPA

We are seeking a highly skilled Full-stack Developer to join our dynamic 

team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python 

and front-end technologies, enabling them to design, develop, and maintain robust web 

applications. This role requires a proactive individual who can collaborate effectively with 

cross-functional teams to deliver high-quality software solutions that meet business needs. 

Responsibilities: 

∙Design, develop, and maintain scalable web applications using Python and front-end 

technologies. 

∙Collaborate with product managers, designers, and other developers to define project 

requirements and deliver solutions that meet user needs. 

∙Implement responsive user interfaces and ensure optimal performance across various 

devices and browsers. 

∙Write clean, maintainable, and efficient code while adhering to best practices and 

coding standards. 

∙Conduct code reviews and provide constructive feedback to team members to enhance 

code quality. 

∙Debug and troubleshoot issues in existing applications, providing timely resolutions. 

∙Stay updated with emerging technologies and industry trends to continuously improve 

development processes. 

∙Participate in Agile development processes, including sprint planning, daily stand-

ups, and retrospectives. 

Mandatory Skills: 

∙Proficient in Python programming language. 

∙Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript. 

∙Experience with front-end frameworks like React, Angular, or Vue.js. 

∙Familiarity with back-end frameworks such as Django or Flask. 

∙Understanding of RESTful APIs and web services. 

∙Experience with version control systems, preferably Git. 

∙Strong problem-solving skills and attention to detail. 

We are seeking a highly skilled Full-stack Developer to join our dynamic 

team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python 

and front-end technologies, enabling them to design, develop, and maintain robust web 

applications. This role requires a proactive individual who can collaborate effectively with 

cross-functional teams to deliver high-quality software solutions that meet business needs. 

Responsibilities: 

∙Design, develop, and maintain scalable web applications using Python and front-end 

technologies. 

∙Collaborate with product managers, designers, and other developers to define project 

requirements and deliver solutions that meet user needs. 

∙Implement responsive user interfaces and ensure optimal performance across various 

devices and browsers. 

∙Write clean, maintainable, and efficient code while adhering to best practices and 

coding standards. 

∙Conduct code reviews and provide constructive feedback to team members to enhance 

code quality. 

∙Debug and troubleshoot issues in existing applications, providing timely resolutions. 

∙Stay updated with emerging technologies and industry trends to continuously improve 

development processes. 

∙Participate in Agile development processes, including sprint planning, daily stand-

ups, and retrospectives. 

Mandatory Skills: 

∙Proficient in Python programming language. 

∙Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript. 

∙Experience with front-end frameworks like React, Angular, or Vue.js. 

∙Familiarity with back-end frameworks such as Django or Flask. 

∙Understanding of RESTful APIs and web services. 

∙Experience with version control systems, preferably Git. 

∙Strong problem-solving skills and attention to detail. 

Solid product experience and an educational background from Tier‑1 universities are preferred.

As a Senior AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata’s AI capabilities. 

In this role, you will: 

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance. 
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features. 
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability. 
• Work with SQL and NoSQL databases to implement efficient data models and service access patterns. 
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs). 
• Use AI powered engineering tools to improve development quality, speed, and productivity. 
• Mentor engineers, supporting them in technical planning, implementation, and best practices. 
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure. 
• Write unit and integration tests and participate in code reviews to uphold engineering excellence. 
• Investigate production issues, ensuring timely and effective solutions. 
• Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies. 

Who You’ll Work With 

You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction. 

What Makes You a Qualified Candidate 

(Nonnegotiable qualifications) 

• Bachelor’s degree in Computer Science or equivalent from a recognized institution. 
• 5+ years of experience in backend services, distributed systems, or data platform development. 
• Strong proficiency in Java, Go, or Python for service development. 
• Good understanding of design principles, distributed system patterns, and service framework. 
• Hands-on experience designing and developing RESTful APIs. 
• Experience with SQL and NoSQL databases and data modelling. 
• Strong debugging, problem solving, and troubleshooting skills. 
• Experience with modern containerization and orchestration tools such as Kubernetes. 
• Knowledge of public cloud platforms. 
• Experience with AI productivity tools (e.g., GitHub Copilot). 
• Ability to work independently, drive workstreams, and deliver high quality outcomes. 
• Strong communication and collaboration skills. 

What You’ll Bring 

(Preferred qualifications) 

• Familiarity with messaging systems such as Kafka. 
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs. 
• A track record of influencing design decisions and driving engineering best practices. 
• The ability to mentor engineers and guide them through design, planning, and execution. 
• A proactive mindset and comfort working in fast paced, dynamic environments. 
• Curiosity, adaptability, and a passion for building impactful AI-driven products. 

Job Title: Senior Fullstack Engineer – ServiceNow

Company: Cloud Sara Technologies Pvt. Ltd.

Experience: 8–12 Years

Location: Bangalore, Hyderabad, Chennai, Mumbai, Ahmedabad

Work Mode: Hybrid – 2 days work from office mandatory

Employment Type: Contract – 6 Months

Notice Period: Immediate Joiners Only

Shift: 1:00 PM – 11:00 PM IST

Interview Process: L1 in-person interview is mandatory

Job Description

We are looking for an experienced Senior Fullstack Engineer with strong hands-on ServiceNow development expertise, QA automation capabilities, and general full-stack development skills.

The candidate will handle ServiceNow integration defects, production troubleshooting, automated testing, release management, and internal application maintenance.

Key Responsibilities

• Handle L2 support tickets, escalations, and ServiceNow integration issues.
• Resolve L3 defects involving ServiceNow ITSM/CMDB, Flow Designer, Scripted REST APIs, Business Rules, GlideRecord, and server-side scripting.
• Perform root-cause analysis for production incidents and integration issues.
• Review code and contribute to full-stack development and maintenance.
• Develop and maintain automated tests using Python and Playwright.
• Validate APIs using Postman and data using SQL.
• Manage test cases in Qase and integrate automated tests into CI/CD pipelines.
• Maintain release documentation, Update Sets, XML exports, and release processes.
• Support customer technical escalations and distributed-system debugging.
• Use AI-assisted development and QA tools to improve productivity.

Mandatory Skills

• 6+ years of hands-on ServiceNow development experience.
• ServiceNow ITSM, CMDB, Flow Designer, Scripted REST APIs, Business Rules, GlideRecord, and server-side scripting.
• OAuth2-based integrations and troubleshooting across systems.
• Python and Playwright test automation.
• API testing using Postman and SQL validation.
• React, TypeScript, and API-driven backend development.
• GitHub, CI/CD, and ServiceNow deployment tools.
• Experience with AI-assisted QA tools such as Claude or Codex.

Preferred Skills

• ServiceNow CSA or CIS certifications.
• GitHub Actions and release management experience.
• Semantic versioning and changelog management.
• Customer-facing production support and on-call experience.

Important Conditions

• Immediate joiners only.
• Hybrid work with 2 days in office mandatory.
• Must be available for the 1 PM–11 PM IST shift.
• Must attend the L1 interview in person.
• Six-month contract engagement.

Job Description:

We are looking for an experienced Python Full Stack Developer with strong expertise in Python, Django, React.js, HTML, JavaScript, and RESTful APIs. The ideal candidate should have experience developing scalable web applications, building backend services, and integrating frontend components with backend APIs.

Key Responsibilities:

• Develop and maintain web applications using Python and Django.
• Build responsive user interfaces using React.js, HTML, and JavaScript.
• Design, develop, and integrate RESTful APIs.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot issues and optimize application performance.
• Python
• HTML
• JavaScript
• React.js
• Django
• RESTful APIs

About Ziro.digital: Ziro.digital is an AI career intelligence platform built for engineering students — helping them navigate internships, placements, and early-career decisions with AI-powered tools.

What you'll do:

• Build and test LLM-powered features for our web product: resume analysis, mock interviews, and personalised career recommendations.

• Work with Python and LLM APIs (Claude, OpenAI, Gemini), applying prompt engineering and building RAG pipelines.

• Write automation scripts and integrate AI capabilities directly into the Ziro.digital web product.

• Ship features end-to-end, working closely with the founder.

What we're looking for:

• Pursuing or completed B.Tech / M.Tech / MCA (2025–2026 pass-outs preferred).

• Strong Python fundamentals.

• Hands-on LLM / ML / AI-agent projects — please share your GitHub.

• Familiarity with Generative AI, Prompt Engineering and RAG is a strong plus.

• Willing to work full-time, in-office at our KPHB, Hyderabad location.

• Able to join immediately for a 6-month internship.

The role:

• Title: AI Intern

• Openings: 2

• Duration: 6 months (full-time, in-office at KPHB, Hyderabad)

• Stipend: ₹10,000–15,000/month

• Performance-based PPO: ₹2–5 LPA, based on impact

• Experience: 0–1 years

• Must-haves: Python, LLMs, Generative AI, Prompt Engineering, RAG

How to apply: Share your resume and GitHub portfolio. We'll shortlist quickly and get you started.

role: data engineer

Python pyspark, SQL, data engineer

5+yrs

Bangalore/Hyderabad

immediate to 15days.

Job Summary: We are seeking a highly skilled Full-stack Developer to join our dynamic team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python and front-end technologies, enabling them to design, develop, and maintain robust web applications. This role requires a proactive individual who can collaborate effectively with cross-functional teams to deliver high-quality software solutions that meet business needs.

• Proficient in Python programming language.
• Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Familiarity with back-end frameworks such as Django or Flask.
• Understanding of RESTful APIs and web services.
• Experience with version control systems, preferably Git.

Embedded Systems / Firmware Engineer

Key Responsibilities

• Develop embedded firmware for IoT and connected devices using C/C++.
• Work on RTOS, bare-metal programming, memory management, device drivers, and communication protocols.
• Develop and integrate drivers/interfaces for cameras, motors, sensors, and vision systems.
• Work with Python and Shell scripting for development and automation.
• Apply basic AI/ML and computer vision concepts to embedded applications.
• Collaborate on electrical and mechanical design, hardware integration, testing, and debugging.

Required Skills

• C, C++, Python, Shell Scripting
• Embedded Systems & Firmware
• IoT, RTOS, Bare Metal
• Memory Management & Device Drivers
• Communication Protocols
• Camera, Motor & Vision Systems
• Basic AI/ML understanding
• Electrical & Mechanical Design understanding

Job Description:

We are looking for an experienced Middleware Administrator with strong expertise in IBM WebSphere Application Server, Linux administration, Python scripting and Java application support. The candidate will be responsible for managing enterprise middleware environments, production support, troubleshooting, deployments and automation activities.

Key Responsibilities:

• Administer, build, configure, maintain and troubleshoot IBM WebSphere Application Server / WebSphere Liberty.
• Support Linux-based server infrastructure hosting critical enterprise applications.
• Monitor application server health, performance, capacity and availability.
• Perform platform upgrades, patching, configuration changes and system maintenance.
• Deploy and support enterprise applications across WebSphere environments.
• Investigate and resolve application, middleware and infrastructure issues.
• Provide production support and participate in on-call rotations.
• Develop and maintain operational documents, runbooks and support procedures.
• Perform application deployments and support CI/CD processes.
• Develop Python scripts for automation and operational improvements.
• Work with infrastructure automation and monitoring tools.
• Collaborate with application, infrastructure and development teams to resolve critical production issues.
• Follow incident, change and problem management processes.

Required Skills:

• 8+ years of overall IT experience.
• 3+ years of hands-on experience with IBM WebSphere Application Server or WebSphere Liberty.
• 3+ years of experience supporting Linux server environments.
• Strong experience in Python scripting and automation.
• Experience in Java application support.
• Good knowledge of IBM Middleware technologies.
• Experience with application deployment and CI/CD processes.
• Exposure to infrastructure automation and monitoring tools.
• Strong troubleshooting and production support experience.
• Good communication and stakeholder management skills.

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

​

Role Overview

We are looking for an experienced Data Scientist – Agentic AI with strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), RAG and Agentic AI.

The ideal candidate should have hands-on experience in developing, fine-tuning, evaluating and deploying machine learning and GenAI solutions. The candidate should be comfortable working with open-source LLMs, LangChain/LangGraph, PySpark and AI observability/tracing frameworks.

The role involves building intelligent AI systems that can reason, use tools, retrieve information and execute multi-step tasks using Agentic AI architectures.

Mandatory Technical Skills

1. Data Science & Python

• 5+ years of experience in Data Science / Machine Learning / AI.
• Strong programming experience in Python.
• Strong understanding of data analysis, feature engineering and statistical techniques.
• Experience with Python ML and data science libraries such as:
• NumPy
• Pandas
• Scikit-learn
• Matplotlib / Seaborn
• Good understanding of data preprocessing, exploratory data analysis and experimentation.

2. Machine Learning & Statistics

• Strong understanding of Machine Learning fundamentals.
• Experience with supervised and unsupervised learning techniques.
• Knowledge of:
• Regression
• Classification
• Clustering
• Feature Engineering
• Model Selection
• Hyperparameter Tuning
• Cross-validation
• Strong understanding of Statistics / ML fundamentals.
• Ability to interpret model performance and statistical results.

3. Generative AI / LLM

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Understanding of Transformer architecture and modern LLM-based applications.
• Experience working with commercial or open-source LLMs.
• Strong understanding of:
• Prompt Engineering
• Context Management
• Embeddings
• Tokenization
• LLM inference
• Hallucination mitigation

4. RAG – Retrieval Augmented Generation

• Strong hands-on experience developing RAG applications.
• Experience with:
• Document ingestion
• Chunking
• Embeddings
• Vector search
• Semantic search
• Retrieval pipelines
• Context retrieval
• Reranking
• Ability to optimize RAG pipelines for relevance, accuracy and latency.
• Experience integrating LLMs with enterprise knowledge sources.

5. Agentic AI

• Hands-on experience building Agentic AI / AI Agent solutions.
• Understanding of agent architecture and multi-step reasoning workflows.
• Experience with:
• AI Agents
• Multi-Agent systems
• Tool Calling
• Function Calling
• Agent orchestration
• Planning and reasoning workflows
• Memory
• Workflow automation
• Ability to build agents that can interact with tools, APIs, databases and external systems.

6. LangChain / LangGraph

• Strong hands-on experience with LangChain and/or LangGraph.
• Experience building LLM workflows and agent-based applications.
• Understanding of:
• Chains
• Agents
• Tools
• State management
• Graph-based workflows
• Agent orchestration
• Retrieval workflows
• Experience designing scalable Agentic AI workflows.

7. LLM Fine-Tuning

• Hands-on experience with LLM fine-tuning.
• Understanding of techniques such as:
• Supervised Fine-Tuning (SFT)
• Parameter-Efficient Fine-Tuning
• LoRA
• QLoRA
• Experience preparing datasets for fine-tuning.
• Ability to evaluate fine-tuned models against baseline models.
• Understanding of model optimization and inference considerations.

8. BERT / LLaMA / Open-Source LLMs

Experience working with one or more open-source / transformer-based models such as:

• BERT
• LLaMA / Llama
• Mistral
• Gemma
• Qwen
• Other open-source LLMs

Candidate should understand model loading, inference, fine-tuning and evaluation.

9. PySpark

• Strong experience with PySpark for large-scale data processing.
• Experience working with large datasets and distributed data processing.
• Knowledge of:
• Data transformations
• Data cleaning
• Aggregations
• Joins
• Spark SQL
• Performance optimization
• Ability to build scalable data processing pipelines.

10. Model Validation & Evaluation

• Experience validating and evaluating ML and GenAI models.
• Understanding of traditional ML evaluation metrics.
• Experience evaluating LLM/RAG applications using relevant quality metrics.
• Ability to compare model performance and identify areas for improvement.
• Experience with:
• Accuracy
• Precision
• Recall
• F1 Score
• ROC-AUC
• Retrieval metrics
• LLM response quality
• Groundedness / relevance
• Experience designing evaluation datasets and test cases is preferred.

11. AI Tracing / Observability

• Experience with AI/LLM tracing and observability.
• Ability to monitor AI applications in production.
• Experience tracking:
• LLM requests/responses
• Latency
• Token usage
• Errors
• Retrieval performance
• Agent/tool execution
• Model performance
• Exposure to tools/frameworks such as LangSmith, OpenTelemetry, Arize Phoenix, MLflow or similar is preferred.

12. Model Deployment

• Experience deploying ML/LLM/GenAI solutions into production.
• Exposure to cloud and/or on-premise model deployment.
• Experience with model serving, APIs and production inference.
• Knowledge of deployment environments such as:
• AWS
• Azure
• GCP
• On-premise infrastructure
• Experience with Docker, APIs and CI/CD is an advantage.

Key Responsibilities

• Design, develop and deploy Data Science, Machine Learning and GenAI solutions.
• Build production-ready RAG and Agentic AI applications.
• Develop intelligent agents capable of tool calling, reasoning and multi-step task execution.
• Build LLM-powered applications using LangChain/LangGraph.
• Work with open-source LLMs including BERT, LLaMA and other transformer-based models.
• Fine-tune LLMs for specific business use cases.
• Develop scalable data processing pipelines using PySpark.
• Perform data analysis, feature engineering and statistical modeling.
• Develop and maintain model validation and evaluation frameworks.
• Evaluate ML and LLM models using appropriate performance and quality metrics.
• Implement AI tracing, monitoring and observability for production GenAI systems.
• Deploy models and AI applications in cloud or on-premise environments.
• Optimize model performance, response quality, latency and cost.
• Troubleshoot issues related to model inference, retrieval, agents and LLM workflows.
• Collaborate with Data Scientists, ML Engineers, Software Engineers and business stakeholders.
• Convert business requirements into scalable AI/ML solutions.

Good to Have

• Experience with Vector Databases such as:
• FAISS
• Pinecone
• Weaviate
• Milvus
• Chroma
• Azure AI Search
• Experience with MLflow or similar ML lifecycle tools.
• Experience with Docker/Kubernetes.
• Experience with REST APIs / FastAPI.
• Knowledge of cloud AI/ML services.
• Experience with MLOps / LLMOps.
• Experience with multi-agent frameworks other than LangChain/LangGraph.
• Experience working with enterprise GenAI applications.

Ideal Candidate Profile

The ideal candidate should be a Data Scientist / ML Engineer with strong GenAI and Agentic AI experience, rather than a pure Python developer.

A strong candidate would typically have:

Data Science + Python + ML + Statistics + GenAI/LLM + RAG + Agentic AI + LangChain/LangGraph + LLM Fine-Tuning + Open-Source LLMs + PySpark + Model Evaluation + AI Observability + Model Deployment.

Core Mandatory Skills

Data Science, Python, Machine Learning, Statistics/ML Fundamentals, GenAI/LLM, RAG, Agentic AI, LangChain/LangGraph, LLM Fine-Tuning, BERT/LLaMA/Open-Source LLMs, PySpark, Model Validation/Evaluation, AI Tracing/Observability, Cloud/On-Prem Model Deployment.

Job Description – Python & Generative AI Engineer

Python & Generative AI Engineer

Location: Bangalore, India

Experience: 4+ Years

Employment Type: Full-time

Job Summary

We are looking for an experienced Python & Generative AI Engineer with 4+ years of software development experience and strong hands-on expertise in Python, LLMs, Generative AI, and AI application development.

The ideal candidate should be comfortable building production-grade AI solutions, integrating LLMs with enterprise applications, and developing scalable APIs and services using Python.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Python and modern AI/ML frameworks.
• Work with Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar models.
• Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
• Build AI-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.
• Develop scalable REST APIs and backend services using FastAPI, Flask, or Django.
• Integrate LLM APIs, prompt engineering, function/tool calling, and structured outputs into enterprise applications.
• Work with vector databases such as FAISS, Pinecone, Weaviate, Milvus, or Azure AI Search.
• Implement document processing, chunking, embeddings, semantic search, and knowledge retrieval solutions.
• Evaluate LLM responses for accuracy, relevance, hallucination, latency, and cost.
• Build and maintain production-ready AI pipelines with appropriate monitoring, logging, security, and error handling.
• Collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver AI solutions.
• Write clean, reusable, testable, and well-documented Python code.
• Participate in architecture discussions, code reviews, testing, deployment, and production support.

Required Skills

• 4+ years of experience in software/Python development.
• Strong proficiency in Python and object-oriented programming.
• Hands-on experience with Generative AI and LLM-based applications.
• Experience with OpenAI/Azure OpenAI, Anthropic, Google Gemini, or open-source LLMs.
• Strong understanding of Prompt Engineering and LLM application patterns.
• Experience implementing RAG pipelines.
• Knowledge of embeddings, vector databases, semantic search, and document retrieval.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong experience developing REST APIs using FastAPI/Flask/Django.
• Familiarity with Git, CI/CD, Docker, and cloud platforms such as AWS, Azure, or GCP.
• Good understanding of SQL and databases.
• Strong problem-solving and communication skills.

Good to Have

• Experience with AI agents / Agentic AI and tool/function calling.
• Experience with multi-agent frameworks.
• Knowledge of MLOps/LLMOps and model evaluation.
• Experience with Kubernetes and containerized deployments.
• Knowledge of NLP, machine learning, or deep learning.
• Experience with Azure AI, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.
• Understanding of responsible AI, data privacy, and LLM security.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Dear Candidate,

Greeting from NAM Info Pvt Ltd.

We have a role for Camstar (Siemens Opcenter) position with NAM Info.

This role will be permanent with NAM info and deploy to client location BANGALORE~PUNE~HYDERABAD.

Work Mode: WORK FROM OFFICE

Notice Period: Immediate to 15 days Max

A decent hike can be provided based on current CTC

Role Descriptions:

Exp Range: 2 – 4 years

Key Responsibilities*

Forgerock Identity Management Role Descriptions: Strong hands-on experience with Ignition SCADA (Vision andor Perspective) Proficiency in Python scripting (Jython) Experience with SQL and relational databases Knowledge of industrial communication protocols (OPC UA| Modbus| EthernetIP) Understanding of SCADA| HMI| MES concepts Experience integrating with PLCs and industrial devices

Essential Skills: Camstar siemens

Desire candidate

• Candidate should have valid PF.

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

9+yrs

Bangalore/Hyderabad

immediate to 15days.