
Job Title: AI & Product Engineering Intern
Company: Optimo Capital (Nipun Projects and Finance Pvt. Ltd.) Location: Bengaluru, Karnataka (On-site / Hybrid) Duration: 4–6 months | Immediate / Rolling start Stipend: Based on profile
About Optimo Capital
Optimo Capital is an RBI-registered NBFC and India's first phygital Loan Against Property lender. We serve MSME business owners across 5 states, offering loans of ₹10L–₹2Cr with 4-day disbursal. Our tech team is actively building AI systems that redefine how lending operations work — from smart underwriting to autonomous calling agents to document intelligence and real-time property valuation.
What You'll Work On
You will be embedded in an early-stage fintech team working hands-on to make AI systems actually work in the real world — not in theory, not in demos, but in production. This means getting deep into existing projects — an autonomous AI calling system, an intelligent document extraction pipeline, and agentic AI frameworks — running experiments, figuring out what works and what doesn't, and iterating fast until it does.
Expect a lot of trial and error. Expect to think from first principles. Expect to question assumptions and find creative solutions to problems that don't have a textbook answer. The job is as much about curiosity and persistence as it is about technical skill.
Beyond the engineering, you will also be expected to think like a product person — understanding the business impact of what you build, owning parts of the product, and connecting the dots between what the AI does and why it matters to the business.
What We're Looking For
- Person with fundamental thinking in problem solving Currently pursuing or recently completed a degree in Computer Science, Mathematics, Statistics, or Engineering
- Solid programming fundamentals — Python, NodeJS etc and ability to learn new language if required
- Has shipped something: Internship, a project, a GitHub repo, a hackathon submission, or a research prototype that demonstrates end-to-end thinking
- Understands software systems beyond just writing code — APIs, data flows, system design at a basic level
- Can articulate the product reason behind technical decisions — not just "how" but "why"
- Comfortable working in ambiguity and taking ownership of open-ended problems
What Makes a Great Fit
We're looking for someone who reads about AI systems on weekends not because they have to, but because they're genuinely curious. You should be the kind of person who, when given a problem, immediately starts thinking about the product experience and the architecture simultaneously — and can hold both in your head at once. If you've built an LLM-powered tool, integrated a voice API, parsed messy documents, or simply gone deep on understanding how modern AI systems work under the hood — we'd love to talk.

About Optimo Capital
About
Optimo Capital is a newly established NBFC with a mission to serve the underserved MSME businesses with their credit needs in India. Less than 15% of MSMEs have access to formal credit. We aim to bridge this credit gap by employing a phygital model (physical branches + digital decision-making).
Being a technology and data-first company, tech and data enthusiasts play a crucial role in building the tech & infra to help the company thrive.
Candid answers by the company
Optimo offers secured and unsecured business loans to the MSMEs in India.
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About the Role
We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.
Key Responsibilities
- Design, develop, and deploy machine learning models into production environments
- Build and maintain scalable ML pipelines for data processing, training, and inference
- Collaborate with cross-functional teams to identify AI-driven product opportunities
- Translate business requirements into ML solutions and technical implementations
- Optimize model performance, accuracy, and latency for real-time applications
- Integrate AI/ML models with APIs and backend systems
- Monitor model performance and implement continuous improvement strategies
- Ensure best practices in data handling, model versioning, and reproducibility
- Stay updated with the latest advancements in AI/ML and apply them to product innovation
Required Skills & Qualifications
- Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
- Strong programming skills in Python (experience with Java/Go is a plus)
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Solid understanding of machine learning algorithms and statistical concepts
- Experience in building and deploying ML models in production
- Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
- Experience with data processing tools (Pandas, NumPy, Spark, etc.)
- Knowledge of version control systems like Git

Company: AISpire360 Role: Senior Voice AI Engineer (Independent Contractor, Full-Time Engagement) Location: Remote (India-based preferred; must overlap 4–6 hours daily with London + US Eastern) Engagement: Full-time independent contractor — long-term Compensation: Competitive, paid in USD, monthly. Senior staff-level rates.
About AISpire360
We are building the operating system for medical practices in the US. Our flagship product is ARIA, an AI receptionist that handles inbound and outbound calls, intake, scheduling, eligibility, prior authorization workflows, and after-hours coverage for medical practices. We are in active production deployment with our first practice — a spine surgery practice at the Hospital for Special Surgery in New York. Multiple specialty practices are in our deployment pipeline.
The platform is built to be specialty-agnostic. The voice agent stack is the universal foundation. Knowledge layers (spine surgery, primary care, behavioral health, dermatology, cardiology, pediatrics, etc.) plug in as configuration. One platform, many specialties.
We are venture-backed, founder-led, and shipping. The technical decisions you make here will be in production within weeks.
What You'll Own
You are the technical anchor for the voice agent. You will be responsible for:
Real-time voice system
- Voice agent stack on ElevenLabs Conversational AI (and evaluation of Retell, Vapi, LiveKit alternatives as we scale)
- STT and TTS configuration, voice tuning, language and accent handling
- Turn-taking, barge-in, end-of-speech detection, latency budgets
- Driving end-to-end voice latency below 700ms (we currently target 600ms)
- Quality vs. cost tradeoffs across voice tier selection (Premium / Turbo / Standard)
- Silence-detection optimization for outbound calls (95% silence-discount realization)
HIPAA + PHI infrastructure
- BAA-compliant hosting architecture (AWS-based, BAA in place)
- PHI detection and redaction pipeline (AWS Comprehend Medical + custom pre-filters)
- Encryption in transit and at rest, audit logging, 7-year retention compliance
- Access controls, RBAC, kill-switch infrastructure
- HIPAA Security Rule compliance for technical safeguards
Agent orchestration and tools
- LLM integration (GPT-4o, Claude Sonnet, with model routing for cost optimization)
- Tool calling for scheduling, eligibility checks, prior auth lookups, calendar booking, task creation
- Multi-turn conversation state management
- Multi-topic call handling and structured task generation
- Safety-critical keyword detection and escalation routing
Integrations
- EHR integration (Epic, Athena, eClinicalWorks — at least one in V1)
- Insurance eligibility APIs (Availity, Change Healthcare, payer-specific)
- Calendar integration (Google Calendar, Microsoft 365, Cal.com)
- SMS and email gateways (Twilio, SendGrid)
- Practice-specific webhooks for task manager surfacing
Multi-tenant platform foundations
- Per-practice configuration loading (specialty profile + practice profile)
- Per-tenant isolation, data segregation
- Specialty-specific intake schemas, triage rules, safety keywords
- Production observability (tracing, metrics, latency monitoring per practice)
Required Experience
You should be able to demonstrate, in a live walkthrough with code in hand, that you have shipped production voice AI systems. Specifically:
- 3+ years of production voice/conversational AI experience. Not chatbots — actual real-time voice agents handling live phone calls. ElevenLabs, Retell, Vapi, LiveKit, OpenAI Realtime, Deepgram, or equivalent.
- Deep familiarity with at least 2 of: ElevenLabs Conversational AI, Retell AI, Vapi, LiveKit Agents, OpenAI Realtime API. Production deployment experience required, not demo experience.
- HIPAA and PHI handling experience in production. Not theoretical. You have signed BAAs, deployed in HIPAA-compliant environments, and built PHI redaction pipelines.
- AWS infrastructure expertise. Specifically: ECS or Fargate, Lambda, S3 with encryption, KMS, CloudWatch, IAM, VPC, BAA-eligible service selection.
- AWS Comprehend Medical or equivalent PHI detection experience.
- Twilio or equivalent telephony provider experience. SIP trunking, inbound/outbound call flows, recording and transcription pipelines.
- Latency optimization in real-time systems. You have hit sub-700ms voice latency in production and can explain the trade-offs you made.
- LLM production experience. GPT-4o, Claude, or equivalent. Prompt engineering, tool calling, structured outputs, model routing for cost.
- Python or TypeScript fluency. Production code, not scripts.
- API integration experience. REST, webhooks, OAuth, async patterns. Bonus if you've integrated with EHRs (Epic FHIR, Athena, eClinicalWorks).
Nice to Have
- Healthcare domain experience (EHRs, clinical workflows, medical terminology)
- Prior auth or eligibility verification workflow experience
- Multi-tenant SaaS architecture experience
- SOC 2 audit experience
- Experience with knowledge graphs (PostgreSQL + pgvector, Neo4j, or similar)
- Open-source contributions to LangChain, LiveKit, Pipecat, or similar voice/agent frameworks
- Demonstrated ability to ship to production fast (not perfectionism — pragmatic engineering)
What This Engagement Looks Like
- Independent contractor. You invoice us monthly. We pay in USD via wire transfer or Wise.
- Full-time engagement. This is your primary work. We expect ~40 hours/week of focused output.
- Long-term. We are not looking for a 3-month engagement. Expect this to run 12+ months.
- You sign a BAA with us. This is non-negotiable due to the nature of the work.
- You are eligible for future equity grants as we formalize the team structure.
- Direct working relationship with our CTO (London-based) and founders (NYC and India).
- Time-zone overlap required: at least 4–6 hours of daily overlap with both London and US Eastern. Indian Standard Time evenings (6 PM IST onward) work well.
How We'll Evaluate You
Our hiring process is fast and substantive. No take-homes. No multi-round bureaucracy.
- Initial screen (30 min): Background, what you've shipped, compensation expectations, BAA-readiness.
- Technical deep-dive (90 min): Walk us through a production voice AI system you've shipped. Code in hand. Architecture diagrams. Real production numbers — latency, cost per call, scale. We will ask follow-up questions about specific decisions you made.
- System design (90 min, live): We give you a design problem — a HIPAA-compliant voice agent for a medical specialty we don't yet support. You design end-to-end on a whiteboard / Excalidraw. We probe trade-offs.
- Founders + CTO conversation (60 min): Mutual fit. You ask us hard questions. We answer honestly.
Total: 4–5 hours of your time. We'll move from first conversation to offer in 7–10 days for the right candidate.
What We Will NOT Accept
- Take-home assignments produced by other AI tools. We will ask you to walk through code live; if you can't explain decisions you didn't make, the interview ends.
- Resume claims you can't substantiate. We verify employment via EPFO/UAN where applicable.
- "I've done LLM chatbots" experience without production voice agent experience. They are not the same skill.
- Engagement structures that conflict with this being your primary work.
How to Apply
Send a brief message with:
- A link to a production voice AI system you've shipped (or, if NDA'd, a description of the architecture and your specific contribution).
- Two or three sentences on why this role fits you specifically — not a generic cover letter.
- Your current compensation expectation in USD per month.
- Your earliest start date and current time-zone availability.
We read every message. We respond within 5 business days, including with "no" answers. We don't ghost.
We are building an advanced, AI-driven multi-agent software system designed to revolutionize task automation and code generation. This is a futuristic AI platform capable of:
✅ Real-time self-coding based on tasks
✅ Autonomous multi-agent collaboration
✅ AI-powered decision-making
✅ Cross-platform compatibility (Desktop, Web, Mobile)
We are hiring a highly skilled **AI Engineer & Full-Stack Developer** based in India, with a strong background in AI/ML, multi-agent architecture, and scalable, production-grade software development.
### Responsibilities:
- Build and maintain a multi-agent AI system (AutoGPT, BabyAGI, MetaGPT concepts)
- Integrate large language models (GPT-4o, Claude, open-source LLMs)
- Develop full-stack components (Backend: Python, FastAPI/Flask, Frontend: React/Next.js)
- Work on real-time task execution pipelines
- Build cross-platform apps using Electron or Flutter
- Implement Redis, Vector databases, scalable APIs
- Guide the architecture of autonomous, self-coding AI systems
### Must-Have Skills:
- Python (advanced, AI applications)
- AI/ML experience, including multi-agent orchestration
- LLM integration knowledge
- Full-stack development: React or Next.js
- Redis, Vector Databases (e.g., Pinecone, FAISS)
- Real-time applications (websockets, event-driven)
- Cloud deployment (AWS, GCP)
### Good to Have:
- Experience with code-generation AI models (Codex, GPT-4o coding abilities)
- Microservices and secure system design
- Knowledge of AI for workflow automation and productivity tools
Join us to work on cutting-edge AI technology that builds the future of autonomous software.
Location: Remote (US preferred) | Type: Full-Time | Team Size: 12-person product org
Industry: Fintech / Lending SaaS | Stack: PHP, Python, AWS, LangChain, OpenAI, CrewAI
🧠
What We’re Building
We’re LendingWise — a B2B SaaS platform powering over 250 lenders, brokers, and banks nationwide. We’re launching a next-gen AI Agent Platform for the mortgage/lending lifecycle: document verification, pricing engines, automated workflows, and multi-agent orchestration — all fully integrated with our CRM/LOS.
You’ll lead the design and development of:
- Modular AI agent system (n8n, CrewAI, LangChain, or your recs)
- Workflow builder UI (admin-facing, trigger/condition/action logic)
- Tool registry + field mapping layer (to connect LendingWise + 3rd-party APIs like CoreLogic, Qualia)
- Document AI module using OCR (Textract or Google)
- Python AI microservices running next to our PHP monolith
- OpenAPI 3.1 upgrade of our current endpoints
🛠️
Your Role
- Act as hands-on architect and lead engineer
- Own integration of LLMs, workflows, and document tools into real loan files
- Design scalable agent orchestration, triggers, and tool execution
- Collaborate with CTO, 5 full stack engineers (PHP), and 2 product owners
- Prototype and ship the MVP in 4–6 months, scale from there
💡
About You
- You’ve built real-world agent workflows or automation platforms (AI or not)
- You’re fluent in LangChain, CrewAI, OpenAI API, or similar
- You’ve shipped production software integrating external APIs and business logic
- You’re comfortable leading architecture, writing Python services, and advising on where PHP stays or goes
- You balance speed with technical vision — you build for iteration, not just demos
🧰
Bonus Skills
- Experience with mortgage or financial software
- PHP knowledge (to interface with legacy systems)
- Familiarity with MCP (Model Context Protocol) or tool registry concepts
- Vector databases, RAG, embeddings, Doc AI APIs
📈 Why This Role?
- Massive greenfield AI project with real customers, real use cases, real docs
- No fluff. Small team. Fast cycles. Visible outcomes.
- You’ll architect something that might become the “AI Copilot of Lending”
✅ Apply if you’re ready to:
- Own the architecture
- Write production Python
- Help shape the next chapter of AI in lending tech
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
Vacancy: Full Stack Senior developer for BeYoungBrands start-up.
Project description:
We are a small innovative team with a big picture vision.
Our goal - to help people be healthier, younger, happier and to live long and active lives.
We are advocates of holistic approache and inclusion. We believe that the best results are brought by uniting science and ancient wisdom which science cannot explain yet.
Our goal is very challenging – we want to create a one point access tool to manage induvial wellbeing and health (with collaboration platform with doctors) from convenience of home and smartphones.
Our goal if far beyond just teaching how to eat and exercise healthier. We want gradually to transform the way a patient and client talk and communicate about health issues.
Our future network of doctors will include only best medicines embracing the holistic approach to each client, accepting limitation and negative impacts of some modern therapies and willing to accept usage of alternative and holistic therapies by their patients.
Job description.
Role description:
The successful candidate to join our team will be the first architect of our ambitious project. Along with immensely challenging tasks and responsibility he/she will have a joy of being the person to layout the design and develop the initial model of the product.
We are looking for self-starter with already proven experience. The job will have a title of senior developer and an employee will have to deliver to its title. We put great worth on the personality of a candidate and his/her ability to get things done, to deliver results and to quickly update one’s knowledge based on the requirement of a task at hand.
Job description:
3+ years experience
Candidate with experience in both Backend and Frontend technology using Java and Pyphon with JavaScript/Angular/Dijango. Would prefer Full Stack experience in current project.
Internal Title: Senior Developer
Experience Range: Mid Level with proven track record in development
Skill(s): Python, Dijango, JavaSript, AngularJS/ReactJS, NodeJS, MongoDB, ExpressJS
Education:
- Bachelor's in Computer Science (Required)
- Master (preferred)
Job Type: Full-time
Location(s): Remote
Responsibilities
- Design, build, and maintain efficient, reusable, and reliable codes for front and backend development.
- Build a layout for structured system data and regularly feed and update it.
- Conceptualizing and developing the data, programming and analysis for online behavior.
- Building a first draft of AI algorithm.
- Programming machine learning and its applications.
- Design client-side and server-side architecture
- Build the front-end of applications through appealing visual design.
- Develop and manage well-functioning databases and applications.
- Write effective APIs
- Test software to ensure responsiveness and efficiency
- Troubleshoot, debug and upgrade application.
- Create security and data protection settings.
- Build features and applications with a mobile responsive design.
- Write technical documentation.
- Work with data scientists and analysts to improve software
Technical and Professional Requirements
- Minimum 3 years of relevant experience.
- Proven work experience as a Full Stack developer (Any one project would do, we are open for freshers with great knowledge and proven experience too).
- In-depth understanding of the entire web development process (design, development and deployment)
- Strong understanding of data structures / algorithm.
- Excellent coding skill in Node js/Angular/Reactjs, JavaScript, Python, Shell Scripts, Groovy.
- Experience in designing, developing and building end to end web applications.
- Responsive Web Design Development experience
- Experience in web libraries.
- Experience with one or more of databases.
- Experience working with deployment and orchestration technologies.
- Knowledge of Agile engineering and testing practices.
- Must have flexibility in work hours
- Knowledge of API Design and Development and Security Patterns on API’s using API Gateway.
- Familiar with modern reactive frameworks and Event Driven architectural patterns.
- Implementing automated testing platforms and unit tests.
- Good Error and Exceptional Handling Skills.
- Knowledge of Automation scripts.
- Experience in Cloud Technology for Deployment of Services is a plus.
- Analyzing user requirements, envisioning system features and functionality.
- Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development.
- Understand Architecture Requirements and ensure effective Design, Development, Validation, Testing and Performance, monitoring.
- Strong knowledge of front-end languages (e.g. HTML, JavaScript and CSS)
- Very strong Integration knowledge is desired.
- Excellent analytical and time management skills
- Teamwork skills with a problem-solving attitude.
Deliveries plan and personal achievements goal for a
role of Senior developer in BeYoungBrands
- First 3 months at role
- Develop and builds a new multilingual website to reflect main features of the project and backend structure.
- Build initial backend design and architecture.
- Develop personal area zone with automated functions.
- Develop security strategy to protect sensitive client information.
- Start building algorithm on existing processes and activities of a clients. Integarate currently available research into algorithm.
- Be support on daily tasks and automations.
- Propose and replace external resources for automation or selling tools with own development plan.
- Second 3 months at role:
- Continue developing interactive client area.
- Work further on algoright with integrating research database, database of clients actions and reported results.
- Start building mobile application for everyting what is already done in platform.
- Build food extension of the platform and mobile section to it with full food directory database, menu planning, photo recognition, input areas and calories calculations.
- Start building exercise module (possible with 3rd party license to use, to be discussed), with video, calories count, instructions, etc.

What can you expect?
You will be part of the founding team at LDU and will be responsible for the end-to-end technology of the company including:
- Work with the founders on cutting edge technologies, including AI/ML, blockchain, computer vision, etc. across the tech-stack.
- Formulate long-term technology & product strategy along with implementation roadmap, while envisioning the tech-stack
required to scale the business 100X
- Architecting and engineering solutions across the entire technology stack including front-end, back-end, infrastructure,
architecture, server-side engineering, UI, etc. in line with the company's strategy.
- Work on the D2C website and enhance the user experience while increasing the company's online presence.
- Provide help to everyone in the team and greatly reduce the time and technical costs of team communication, technology
docking.
- Plan and collaborate with the other teams including marketing/ growth, customer success/ sales, design, operations, etc. to
implement new product features, growth hacks/ initiatives identified through user interviews/ insights, etc in a timely manner.
- Will be involved in a horizontal technical requirement, so should be able to make a prototype design for a product very rapidly
while executing the same with a wide range of techniques.
- Build processes/mechanisms to track the KPIs across product/ technology and ensure religious execution of the targets
- Build and lead the technology team including the engineering team, product team, Quality Assurance, etc.
- Awesome work-culture (flexible work timings; no need to wear formals; awesome snacks to name a few)
What are we looking for?
We are looking to onboard a Full Stack Software Engineer, who has a founder's mindset including the following traits:
- Experience of full stack development across web & mobile based technologies and should have scaled a business
- Ability to work across stacks like MEAN, MERN, LAMP, etc. seamlessly
- Ability to build scalable products/ platforms, fully redundant fault tolerant infrastructure while working on modern technologies.
- Versatile Developer/Engineer that can help on both ends of the website development and better the same by enhancing user
experience.
- Ability to Code in both frontend and backend of the site
- Stronghold in both front-end & back-end development/ algorithms with experience of building agile, highly scalable, data-driven
platforms from scratch
- Ability to be hands-on with coding across big data, mobile apps, AI & ML, analytics, DevOps, business intelligent solutions, etc.
apart from strategically guiding/ mentoring the team
- Stronghold in executing stuff on the ground and hustle around to Get things done
- Ability to think and see the big picture while focusing on short term goals and deliverables
- Leadership qualities to hire and build a kick-ass technology/ product team going forward
- Experience as a founder/ being part of founding team is huge plus but not mandatory
- Experience in the Fashion/ Apparel industry is a plus but not mandatory
The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have the ability to test code in order to maintain high-quality code.
Responsibilities
- Design, code, test and manage various applications, Product Development
- Collaborate with the engineering team and product team to establish the best products
- Follow outlined standards of quality related to code and systems
- Develop automated tests and conduct performance tuning
Qualifications
- Bachelor's degree in Computer Science or relevant field
- 6 to 10 years of experience working with .NET or relevant experience
- Must have experience in Product Development
- Experience developing web-based applications in C#, HTML, JavaScript, VBScript/ASP, or .NET, Angular 8+
- Experience working with MS SQL Server and MySQL Knowledge of practices and procedures for full software design life cycle
- Experience working in an agile development environment
Have at least 2 years of experience with two or more development languages. Experience
working on Python is a MUST and that on JAVA is nice to have.
- Experience in building web platform with Angular 9+ (React could be an alternative) is a MUST
- Experience in building applications with containerization like Docker and Kubernetes
- Experience in writing relatively complex DB queries (preferably SQL Server, MySQL). Experience working on No-SQL DB is nice to have.
- Experience in building RESTful APIs using Python and web frameworks such as Spring MVC, Flask
- Experience in working in any of the ORM tools like SQLAlchemy, SQLObject, Storm, Django
- Skillful in writing high-quality, well-tested code
- Proficient in Object-Oriented programming
- Comfortable with Agile methodologies, such as Scrum, Kanban
- Experience in working with JavaScript frameworks (such as ag-Grid, D3) to build in-app reports is nice to have
- Key competencies required: Problem-Solving, Analytical, Collaboration, and Accountability
- An influencer by always advocating for technical excellence and innovation while being open to change when needed
- Resilient in ambiguous situations and can approach challenges from multiple perspectives
- Advantage if has a working knowledge of cloud technology such as AWS, Azure
- Efficiently utilize DevOps tools and practices to build and deploy software
- Have knowledge of Test Driven Development
- The Application Developer will be responsible for developing custom solutions specializing in C# and NET technologies to support the overall enterprise application initiatives Guides team members in
- Adhere to NET framework for automation projects to ensure manageability and maintainability of ode base
- 7+ years of work experience in developing Business IT Applications, Digital technologies, and Platform implementation
- Practical experience of developing machine learning systems
- Strong software skills in Python/R/C#
- Experience in using machine learning frameworks and libraries such as TensorFlow a plus
- Lead and work with ML engineers and data scientists to build smart automation & ML applications
- Strong software troubleshooting skills, and an understanding of programming constructs in C# NET, in a MS Windows based enterprise software environment
- Lead and work with ML engineers and data scientists to build smart commerce services & ML applications
- Identify what kind of data in which format should be collected in order to solve the problem
- Strong understanding of programming concepts and a programming background with C# NET
- Strong understanding of Process Design documents, Technical Design documents and BPMN 20 standards
- Strong understanding of web technologies, HTML, CSS, JavaScript, xml, xaml
- Strong understanding of relational database design, writing queries and stored procedures with MySQL or Microsoft SQL
- Strong understanding of Object Oriented Analysis and Development within large enterprise level applications









