
Machine Learning Engineer - Agentic AI & LLM Specialization
- Pune, Maharashtra
- Permanent
- Full-time
- Design and implement state-of-the-art Machine Learning and LLM-powered features for the Aera Platform.
- Build and optimize agentic AI workflows that enable autonomous decision-making and multi-step reasoning.
- Solve problems at scale and develop fault-tolerant, production-grade
- Collaborate closely with Data Science, Engineering, and DevOps teams to deliver scalable and maintainable solutions.
- Explore, evaluate, and integrate emerging AI technologies to push the boundaries of autonomous agents, retrieval-augmented generation (RAG), and LLM-based reasoning.
- B.E./
- At least 2 years of experience in designing and deploying Machine Learning or LLM-based systems ( 6 months to a year for LLM).
- Strong Python skills; experience with libraries such as FastAPI, Flask, LangChain, LlamaIndex, or equivalent.
- Experience working with large datasets, ML pipelines, and distributed systems (e.g., Ray, Spark).
- Experience building and fine-tuning ML/LLM models using Hugging Face, PyTorch, TensorFlow, scikit-learn, pandas, etc.
- Strong skills in containerized microservices (Docker, Kubernetes) and CI/CD tools (Jenkins, Git, Jira).Excellent problem-solving, communication, and collaboration skills.
- Experience with GoLang for high-performance components.Familiarity with vector databases (Pinecone, Weaviate, FAISS). Knowledge of event streaming and caching technologies (Kafka, Redis)
- Exposure to ML engineering tools such as MLflow, Data Version Control (DVC), and experiment tracking systems.
- Understanding of multi-modal AI and integrating text, image, and structured data in AI workflows. Experience in designing autonomous agents, RAG pipelines, and multi-step reasoning systems.
- Familiarity with serverless AI infrastructure and cloud providers (AWS, GCP, Azure).