Senior Software Engineer

2 hours ago

Mumbai, Maharashtra, India Vellstone Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We're hiring a Senior Software Engineer / Technical Lead for our product-based client to work on advanced AI and LLM-powered solutions.

As a Senior Software Engineer / Technical Lead, your responsibilities would be:

  • Lead the design, development, and deployment of production-grade AI and LLM solutions using Python and Golang.
  • Architect and implement scalable backend services and REST APIs in Golang to serve AI/ML models with high performance.
  • Build and optimise RAG (Retrieval Augmented Generation) pipelines using vector databases and advanced retrieval strategies.
  • Design and implement sophisticated prompt engineering strategies (e.g., few-shot learning, chain-of-thought prompting, context optimisation) for LLM applications.
  • Work with major LLMs (e.g., GPT-4, Claude, Llama) to build intelligent systems for text generation, analysis, classification, and reasoning.
  • Develop microservices and data processing pipelines in Golang and Python to handle high-volume data ingestion, transformation, and model inference.
  • Build and maintain vector databases (e.g., Qdrant, Pinecone, Weaviate) for efficient similarity search and retrieval.
  • Optimize model performance, latency, and cost for production deployments across cloud environments.
  • Mentor junior team members and conduct code reviews.

Requirements

  • 6+ years of experience in software engineering, data science, or AI/ML engineering roles.
  • Expert-level proficiency in Python with a deep understanding of modern libraries (Pandas, NumPy, FastAPI/Flask, asyncio).
  • Strong proficiency in Golang with experience building production-grade microservices, REST APIs, and concurrent systems.
  • Deep understanding of LLM architectures, capabilities, and limitations, with hands-on experience using platforms like OpenAI, Anthropic, or Hugging Face.
  • Proven expertise in prompt engineering techniques, including context management and optimization strategies.
  • Strong knowledge of RAG architectures, including chunking strategies, retrieval methods, and context management.
  • Deep understanding of embeddings (text, multimodal), vector databases, and semantic search principles.
  • Proficient in SQL with experience in database design, optimization, and working with both relational and vector databases.
  • Strong system design skills with the ability to architect scalable, fault-tolerant AI-powered applications.
  • Self-driven, with the ability to own projects end-to-end and deliver production-quality solutions.

Benefits

  • You'll get to work with cutting-edge AI technologies, specifically leading the design and deployment of LLM-powered solutions.
  • Opportunity to leverage advanced skills in RAG systems, vector databases, and sophisticated prompt engineering.
  • Experience with model fine-tuning, evaluation, and A/B testing of AI systems is a plus.
  • Familiarity with orchestration frameworks like LangChain/Llamaindex and advanced prompting techniques (ReAct, Tree of Thoughts) is valuable.
  • Exposure to modern development and operations tools, including:
  • Model deployment/serving frameworks (vLLM, TGI, Triton).
  • Distributed systems and message queues (Kafka, RabbitMQ, Redis).
  • Cloud platforms (Kubernetes, Docker, AWS/GCP/Azure).
  • Monitoring/observability tools (LangSmith, Weights & Biases).

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