R&D Engineer

· Develop and test AI-enabled application features using LLMs/SLMs, retrieval-augmented generation (RAG), embeddings, semantic search, intelligent document processing, and agentic workflows where appropriate.

· Build proofs of concept, prototypes, reference implementations, APIs, libraries, and reusable accelerators based on R&D priorities; document findings and limitations.

· Integrate AI models and services with enterprise applications, databases, document repositories, workflows, and existing APIs while respecting access controls and data boundaries.

· Experiment with open-source models, AI frameworks, model-serving tools, and vector search technologies; compare quality, latency, resource usage, security, and cost.

· Develop, test, and optimize backend services, data pipelines, and integrations using sound software engineering practices, automated testing, and version control.

· Contribute to evaluation of emerging technologies across cloud-native development, automation, enterprise search, data engineering, analytics, and application modernization.

· Package and deploy prototypes in Linux, containers, and Kubernetes-based environments; support private, on-premises, and approved cloud deployment scenarios.

· Apply secure development practices, responsible AI safeguards, logging, monitoring and basic model evaluation, including checking for hallucinations and data leakage.

· Collaborate with solution architects and project teams to refine requirements, conduct technical demonstrations and transition successful R&D outcomes into delivery projects.

· Maintain clear technical notes, architecture diagrams, benchmark results, setup instructions, and reusable examples; share learning with the wider engineering team.

Qualifications & Experience

· Bachelor’s degree in computer science, information technology, software engineering, or a related discipline.

· 3+ years of hands-on software development experience, with demonstrable projects or practical exposure in AI/GenAI application development.

· Strong programming skills in Python, Java or comparable languages, with experience building REST APIs, services and database-backed applications.

· Experience using Git, testing frameworks, debugging tools and modern development workflows; ability to independently implement and troubleshoot solutions.

Technical Skills

· Working knowledge of LLM APIs or self-hosted models, prompting, RAG, embeddings, vector databases and AI application evaluation.

· Exposure to AI frameworks and libraries such as Hugging Face, LangChain, LangGraph, LlamaIndex, PyTorch or equivalent; depth in selected tools matters more than familiarity with all.

· Understanding of SQL databases, search systems, data processing, API integration, and modular application design.

· Working familiarity with Linux, Docker, CI/CD and cloud-native deployment; Kubernetes exposure is an advantage.

· Ability to assess performance, scalability, security, maintainability, and open-source licensing when evaluating technology choices.

Preferred Experience

· Implementation of AI-powered document processing, knowledge assistants, workflow automation, semantic search, or decision-support features.

· Experience running open-source models locally or on private infrastructure, including basic GPU inference and model-serving concepts.

· Experience contributing to shared frameworks, developer tools, internal platforms or open-source projects.

· Exposure to mission-critical enterprise systems, regulated environments or deployment in private data centers.

Expected Outcomes

· Working, demonstrable prototypes with reproducible benchmarks and clear recommendations.

· Reusable, tested components and implementation guides that engineering teams can adopt.

· Secure, maintainable integrations that progress from research into real enterprise software projects.

· Consistent technical learning, documentation, and collaboration that strengthen the R&D function.

Pay: ₹600,000.00 - ₹1,800,000.00 per year

Benefits:

• Food provided
• Health insurance
• Provident Fund

Experience:

• Software development: 3 years (Required)

Work Location: In person