Urgent Opening for Sr. AI Engineer

Sr Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference.

At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress.

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities :

• Collaborate with the development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-Driven Development (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Recommend changes to improve application architecture, maintainability, and performance.
• Develop and optimize database queries using T-SQL.
• Prepare and produce software component releases.
• Develop and execute unit, integration, and performance tests.
• Support formal testing cycles and resolve test defects.

AI-Specific Responsibilities:

• Integrate AI-powered tools and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD) processes.
• Guide the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.

Qualifications :

• Bachelor’s degree in Computer Science, IT, or a related field.
• Highly proficient in ASP.NET Core (C#) and full-stack development.
• Experience developing REST APIs.
• Proficiency in front-end technologies (JavaScript, HTML, CSS, Bootstrap, and UI frameworks).
• Strong knowledge of cloud platforms (Azure preferred), including scalability and enterprise cloud. 
• Strong database experience, particularly with T-SQL and relational database design.
• Advanced understanding of object-oriented programming (OOP) and SOLID principles.
• Experience with security best practices in web and API development.
• Knowledge of Agile SCRUM methodology and experience in collaborative environments.
• Experience with Test-Driven Development (TDD).
• Strong analytical skills, problem-solving abilities, and curiosity to explore new technologies.
• Ability to communicate effectively, including explaining technical concepts to non-technical stakeholders.
• High commitment to continuous learning, innovation, and improvement.

AI-Specific Qualifications:

• Proficiency in AI-driven development tools and platforms such as GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.

AI-First Mindset Requirement:

This role requires embracing an AI-first approach to work, where GenAI and agentic AI tools are viewed as essential collaborators rather than optional supplements. We expect team members who naturally think in terms of AI-enhanced workflows, proactively seek opportunities to integrate intelligent automation, and demonstrate curiosity about leveraging AI to solve complex problems more efficiently.

The ideal candidate approaches challenges by first considering: "How can AI help me accomplish this faster and better?" while maintaining high standards for quality, security,

Job Title: Software Development - Team Lead

Location: Mohali (Phase 8B)

Company: 75WAY Technologies Pvt. Ltd.

Experience: 4+ Years

We are looking for an experienced Software Development Team Lead to manage a team of developers, oversee project execution, and actively participate in client meetings and requirement discussions. The ideal candidate should have strong technical expertise in MERN / MEAN / AIML technologies, along with proven leadership and communication skills to ensure successful delivery of software projects and high client satisfaction.

Responsibilities

• Lead and manage the software development team to deliver high-quality solutions
• Conduct client meetings, requirement gathering, and technical discussions
• Assign tasks, monitor progress, and ensure timely project delivery
• Provide technical guidance and mentorship to developers
• Coordinate between clients and internal teams to resolve issues
• Ensure adherence to coding standards, timelines, and quality processes
• Handle project planning, task allocation, and performance monitoring
• Maintain regular communication with clients regarding project status
• Identify risks and implement solutions to ensure smooth delivery

We are looking for a highly skilled AI Platform Engineer to build and scale agentic AI capabilities across our product suite. You’ll work on multi‑agent systems, orchestration platforms, RAG pipelines, and real‑time AI services used in enterprise workflows.

🔹 Key Responsibilities

• Build and maintain AI platform services enabling agentic workflows
• Develop domain-specific agents (proposal generation, compliance, data analysis)
• Implement multi-agent orchestration using LangGraph and related frameworks
• Build APIs, SDKs, and integration layers for product teams
• Design and optimize RAG, GraphRAG, and knowledge ingestion pipelines
• Enhance orchestration platforms, WebSocket communication, and error recovery
• Optimize performance, latency (<3s), cost, and reliability of AI systems
• Collaborate closely with ML engineers and data scientists on models, prompts, and A/B testing

🔹 Required Skills & Experience

• 5+ years of software engineering experience (1–2+ years in AI/ML systems)
• Strong Python (FastAPI, async, LangChain/LangGraph)
• Experience with LLM APIs (OpenAI, Claude, Llama, Phi‑3)
• Hands-on RAG, embeddings, vector databases, and hybrid search
• React + TypeScript experience (WebSockets, hooks, real-time UI)
• Knowledge of multi-agent systems, prompt engineering, and orchestration patterns
• Solid backend fundamentals: REST APIs, databases, auth, testing, Git

🔹 Nice to Have

• MLOps exposure (prompt versioning, monitoring, A/B testing)
• Experience with semantic caching and context management
• Docker and cloud deployment basics

Test Automation & Framework Development

• Design, develop, and maintain scalable web UI automation frameworks using Playwright (TypeScript / Python / JavaScript) following Page Object Model (POM) architecture
• Implement parallel execution, retry strategies, flaky test analysis, and test isolation for reliable, stable test runs
• Create and manage shared utilities — logging, test data handling, Microsoft Teams/Slack integrations, and HTML/Allure reporting
• Define coding standards, perform code reviews, and onboard team members to the automation framework

CI/CD & Pipeline Integration

• Configure and maintain GitHub Actions workflows for automated test execution — integrate with CI pipelines for reporting, failure screenshots, and alerting
• Set up Git-event-driven test triggers and post structured test result summaries to collaboration channels
• Work with shell scripting and Docker basics to support pipeline reliability and scalability

AI Agent Development & Integration

• Contribute to AI-native test automation pipelines leveraging LLM APIs (Claude API / OpenAI) — including intelligent test selection, auto test generation via Playwright Codegen, and automated defect reporting
• Build or support autonomous agent workflows with multi-step reasoning, tool use, and integration with external APIs (GitHub, Jira, REST APIs)
• Develop and refine prompt engineering strategies to build reliable, deterministic agent behavior
• Deploy and monitor AI agents via FastAPI or serverless functions; handle edge cases and output validation

Quality & Reporting

• Perform functional, regression, smoke, and end-to-end test coverage for web platforms
• Manage test data setup and teardown; generate Allure reports and share structured summaries with stakeholders
• Analyze test failures, identify root causes, and drive continuous improvement of test coverage and quality processes

Automation & Testing

• Strong proficiency in Playwright (TypeScript / Python / JavaScript) for web UI automation
• Solid understanding of Page Object Model (POM) and scalable framework design principles — must have designed frameworks, not just written scripts
• Familiarity with BDD frameworks such as Cucumber
• Experience with test runners: pytest or Playwright Test Runner
• Hands-on experience with Selenium WebDriver is a plus

Languages & Tools

• Proficient in TypeScript and/or Python; familiarity with JavaScript is a plus
• Experience with GitHub Actions and CI/CD pipeline configuration hands-on YAML writing required
• Working knowledge of Shell / Bash scripting
• Familiarity with REST API testing and integrations with tools like GitHub and Jira

AI & LLM Exposure

• Working knowledge of LLM APIs (Claude API / OpenAI) for building AI-powered automation or agent workflows
• Hands-on experience with prompt engineering for reliable, structured agent outputs
• Exposure to MCP (Model Context Protocol) or agent skill-based design patterns
• Familiarity with FastAPI for deploying lightweight agent services

Soft Skills

• Strong debugging, analytical, and problem-solving skills — must be able to diagnose failures live
• Ability to independently own modules and drive projects with minimal supervision
• Good communication skills; ability to write structured summaries and documentation for both technical and non-technical stakeholders

We’re building the future of AI-powered sales enablement.

PitchSense AI is a flagship product within our portfolio of AI-driven Sales and Marketing solutions.

We blend conversational intelligence, generative AI, and behavioural analytics to help people master persuasion through real-time AI simulations.

Why PitchSense AI

Working here means joining a small, fast-moving team that lives at the frontier of applied AI.

You’ll:

• Build in a high-pace, high-learning environment where ideas ship fast.
• Tinker with cutting-edge AI tools, agents, and large language models (LLMs) daily.
• Prototype novel ways to combine speech, emotion, and reasoning into human-like training experiences.
• Learn across multiple domains — engineering, design, analytics, and product.
• Work directly with the founding team on problems no one has solved before.

This is not routine work — it’s an opportunity to shape entirely new experiences in human-AI interaction while growing faster than you ever have before.

Stack: Next.js · TypeScript · NestJS · Prisma · PostgreSQL · AWS · OpenAI · AISDK · AI Agents · RAG · ElevenLabs

Culture: Ownership · Velocity · Craftsmanship

SDE II

Location: Gurgaon

Experience: 2–4 years | Type: Full-time | Reports to: CTO

Responsibilities

• Architect and scale multi-tenant systems for AI training and analytics.
• Design clean APIs and optimise data models for speed and resilience.
• Mentor junior engineers and uphold engineering best practices.
• Enhance caching, monitoring, and infrastructure reliability on AWS.
• Integrate AI-based code reviews to maintain quality and velocity.

Requirements

• 2–4 years of full-stack or backend experience.
• Expertise in TypeScript, Node.js, PostgreSQL, React/Next.js.
• Comfortable owning modules from design to production.

Bonus

• Experience with AI model integration or speech intelligence.
• Exposure to Prisma ORM, CI/CD, and monitoring tools.

Developer Tools & Workflow

Every engineer and designer at PitchSense AI uses modern, AI-augmented tools to move fast and ship better.

Tools

• Cursor IDE
• Claude Code
• AWS (Lambda, ECS, RDS, S3)
• AI-based Code Reviews
• MagicPath
• Figma AI

Workflow Highlights

• Continuous deployment via GitHub Actions / AWS Pipelines.
• PR preview environments for instant testing.
• AI-driven code review loops for rapid iteration.
• Cross-disciplinary culture - work across frontend, backend, DevOps, and design.

Culture & Perks

• Ownership from day one - every role is founding-level.
• High-performance, meritocratic culture - growth based on impact, not tenure.
• Cross-discipline learning - explore code, design, and infrastructure alike.
• MacBook for work and premium tooling.
• Annual offsite for alignment and collaboration.
• Competitive compensation and ESOPs for core hires.
• Direct mentorship from the CTO and founding team.
• Real impact - reshape how humans learn to sell, speak, and persuade through AI.

About the Role

Pendo is looking for a Software Engineer to help build and scale the platform that powers our integrations with enterprise systems such as Salesforce, Slack, Segment, and other partner tools. This team develops the services, APIs, data pipelines, and user interfaces that enable customers to seamlessly connect Pendo into their product and data ecosystems.

In this role, you will primarily focus on building scalable backend systems while also contributing to the frontend experiences that allow customers to configure, manage, and monitor integrations. You’ll collaborate closely with product managers, designers, and infrastructure teams to deliver reliable, high-performance capabilities used by millions of users.

What You'll Do

• Design and build scalable backend services and APIs that power Pendo’s integrations platform.
• Develop and maintain distributed, event-driven data pipelines that process and sync high volumes of behavioral and product analytics data.
• Contribute to frontend applications that allow customers to configure, manage, and monitor integrations and data workflows.
• Lead technical initiatives from design through implementation, testing, and production rollout.
• Integrate with third-party APIs and enterprise platforms using technologies such as REST, webhooks, and OAuth.
• Collaborate with product, design, infrastructure, and partner teams to translate business needs into high-quality technical solutions.
• Use modern development workflows and AI-powered tools to improve developer productivity and streamline engineering processes.
• Participate in design reviews and promote best practices in testing, observability, performance, and system reliability.
• Contribute to improving platform scalability, availability, and operational excellence.

What We're Looking For

• Experience building backend services, APIs, or distributed systems.
• Experience developing modern web applications using frameworks such as Vue, React, or Angular.
• Strong proficiency in at least one backend language such as Go, Java, Python, or C++.
• Experience working with cloud infrastructure such as AWS or GCP.
• Familiarity with distributed systems, event-driven architectures, or high-throughput data pipelines.
• Experience writing and maintaining unit, integration, and end-to-end tests.
• Strong collaboration and communication skills.

Nice to Have

• Experience building integration platforms or working with third-party APIs.
• Familiarity with authentication models such as OAuth and enterprise SaaS integrations.
• Experience working with analytics or behavioral event data.
• Experience leveraging AI-assisted development tools or working with modern AI workflows.

Technologies We Use

• Frontend: Vue, Vuex, React, Angular, Highcharts, Jest, Cypress
• Backend: Go, Java, Python, C++
• Cloud & Data: AWS, GCP, Redis, Pub/Sub, SQL/NoSQL
• AI / ML: GenAI, LLMs, LangChain, MLOps

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

About the Role

We are looking for a highly skilled and experienced Full Stack Software Development Engineer to join our team focused on building and enhancing an Agentic AI Framework. You will be instrumental in developing scalable, reliable, and intelligent AI-based systems, contributing across the stack—from front-end interfaces to back-end infrastructure, and cloud deployment pipelines.

This is a dynamic and forward-thinking role, perfect for developers passionate about AI/ML advancements and keen to continuously grow in the evolving landscape of software engineering.

Key Responsibilities

• Design, develop, and maintain scalable and responsive front-end and back-end components of the Agentic AI Framework.
• Implement RESTful and GraphQL APIs for seamless integration across services.
• Optimize performance and ensure high availability across distributed systems.
• Collaborate with cross-functional teams including AI/ML engineers, data scientists, and DevOps.
• Write clean, maintainable, and testable code.
• Contribute to architecture discussions, code reviews, and project planning.
• Keep up-to-date with advancements in AI/ML algorithms, frameworks, and data science practices.
• Act as a primary point of contact for L3/L4 production support, including:

o  Debugging and resolving live issues

o  Delivering hot patches and quick fixes

o  Managing emergency and planned production releases

·      Own and operate the release lifecycle including version control, deployment, rollback strategies, and documentation

• Support deployment, monitoring, and scaling efforts using DevOps and cloud infrastructure.

Required Skills

• Front-end: React.js, TypeScript, HTML5, CSS3, Redux, Tailwind or Material UI
• Back-end: Java, Kotlin, Spring Boot, Node.js
• Databases: PostgreSQL, Redis, MongoDB, MySQL
• Architecture: Microservices, API Gateways, Event-driven architecture
• DevOps (Preferred): Docker, Kubernetes, CI/CD (e.g., Jenkins, GitHub Actions), AWS/GCP/Azure
• Testing: JUnit, Jest, Selenium, Postman
• Strong understanding of design patterns, data structures, and algorithms
• Familiarity or keen interest in AI/ML, LLMs, data science tools, and workflows

Nice to Have

• Experience with observability tools (Grafana, Prometheus, ELK stack)
• Japanese language proficiency (not mandatory, but a plus)

Who You Are

• A problem-solver with a proactive mindset
• Able to adapt quickly to new technologies and challenges
• Comfortable working in a fast-paced, innovative environment
• Collaborative with excellent communication skills

Perks & Benefits

• Learning support for AI/ML upskilling
• International and diverse team culture

Work on cutting-edge AI-driven products

Engineer the Future of AI-Powered Recruitment Applications

About Us:

At PyjamaHR, we're creating recruitment software so intuitive you could use it in your pajamas. We integrate cutting-edge LLMs and Generative AI technologies into practical, powerful applications that are transforming how 525+ companies hire talent. While others are still talking about AI potential, we're shipping AI-powered features that deliver real value. As we scale from Bangalore to the US market, we need exceptional full-stack talent who can turn advanced AI capabilities into elegant, user-friendly experiences.

The Role:

As a Senior Full-Stack Engineer at PyjamaHR, you'll build the applications and interfaces that bring our AI capabilities to life. This isn't about training models—it's about implementing, integrating, and optimizing Generative AI within robust full-stack applications. You'll work across our entire technology ecosystem to create seamless experiences that leverage AI to solve real recruitment challenges. Your code will directly impact how companies discover, evaluate, and hire talent.

What You'll Do:

• Implement AI-Powered Features - Integrate Generative AI capabilities into practical, user-facing applications
• Build End-to-End Solutions - Develop both frontend experiences and backend services that leverage AI capabilities
• Create Scalable Architectures - Design systems that grow with our rapidly expanding user base
• Optimize Performance - Ensure our applications remain responsive even when processing complex AI operations
• Enhance User Experiences - Translate advanced AI capabilities into intuitive, accessible interfaces
• Drive Technical Excellence - Set standards for code quality and engineering practices across the team
• Collaborate Across Functions - Work with product, design, and data teams to deliver cohesive solutions
• Solve Complex Challenges - Apply your technical creativity to the unique problems of AI-powered recruitment

Who We're Looking For:

• 3-5 years of full-stack development experience building production applications
• Experience implementing and integrating Generative AI into web applications
• Expertise with either Django/React or Node.js/React technology stacks
• Strong experience with cloud platforms (Azure preferred, AWS acceptable)
• Proven ability to build performant, scalable web applications
• Excellence in modern JavaScript/TypeScript and frontend development
• Solid understanding of software architecture principles
• Product-minded approach to engineering decisions
• Ability to thrive in fast-paced environments with evolving priorities
• Bachelor's or higher in Computer Science or equivalent practical experience

The Rewards:

• Salary range of ₹30-40 LPA for exceptional talent (with room to negotiate for truly outstanding candidates)
• Equity package with significant growth potential
• Minimal bureaucracy and maximum impact
• Autonomy to make important technical decisions
• The opportunity to shape an industry-leading product
• Collaborative, innovation-focused work environment

Location: Bangalore (Koramangala 8th Block)

This role is perfect for engineers who want to apply their full-stack expertise to implement cutting-edge AI technologies in real-world applications. If you're excited about building the interfaces and systems that make advanced AI accessible and valuable to users, we want to talk to you.