About The Role

Join our emerging technology team to build practical, high-value AI solutions for global clients. You will bridge cutting-edge generative AI research with production software engineering, crafting agentic workflows, semantic search systems, and automated evaluation suites.

Key Responsibilities

- Architect and deploy autonomous AI agents with structured tool-calling and memory stores
- Engineer hybrid enterprise RAG systems with semantic chunking, re-ranking, and vector embeddings
- Implement robust evaluation datasets (evals) to measure hallucination rates and accuracy benchmarks
- Optimize prompt chains, caching, and token usage to ensure predictable latency and unit economics
- Implement security guardrails, PII redaction, and audit logging for enterprise compliance

Qualifications & Requirements

- 3+ years in software engineering with at least 1.5+ years focused on applied LLMs / GenAI
- Strong proficiency in Python and TypeScript
- Hands-on experience with frameworks like LangChain, LlamaIndex,



Instructor, or DSPy
- Practical experience with vector databases (Qdrant, Pinecone, pgvector) and search techniques
- Understanding of prompt engineering, few-shot techniques, and model evaluation methodologies
- Disciplined engineering mindset regarding automated testing, observability, and cost control

Nice to Have
- Experience fine-tuning open-source models (Llama 3, Mistral) with LoRA/QLoRA
- Knowledge of local model execution with Ollama or vLLM
- Experience deploying ML microservices with FastAPI, Docker, and Kubernetes

What We Offer Market-competitive salary and performance bonuses

Workstation hardware of your choice and cloud computing budget

Dedicated time and budget for AI experimentation and open-source contributions

Comprehensive health and wellness benefits

100% remote-first company culture

📌 AI & Automation Engineer (India)
🏢 OSSTAP
📍 India