Genetic Callnet Consultancy Pvt Ltd.
Website:
geneticcallnet.com
Job details:
Key Responsibilities
- Lead end-to-end development of LLM applications from prototype to production
- Design & implement LLM API integrations (OpenAI, Anthropic, internal models)
- Drive prompt engineering & optimization for high-quality outputs
- Build RAG pipelines, vector DB integrations & context management systems
- Implement output validation frameworks to reduce hallucinations
- Ensure AI security (prompt injection, adversarial risks, SQL injection)
- Deploy & monitor systems using MLOps best practices (performance, latency, usage)
🧠Required Skills & Experience
- 5+ years as ML Engineer / MLOps Engineer with production LLM experience
- Strong Python programming skills
- Hands-on with PyTorch / TensorFlow
- Experience with Kubeflow / Airflow
- Cloud expertise: AWS / GCP / Azure
- Familiarity with Docker & Kubernetes
- Experience with Vector DBs (Pinecone, Weaviate, Chroma) & RAG architectures
- Exposure to ML monitoring tools (MLflow, Weights & Biases, Prometheus)
⚡ What We’re Looking For
- Deep understanding of LLMs, prompt engineering & GenAI risks
- Strong problem-solving mindset (latency, scale, reliability challenges)
- Excellent communication & collaboration skills
Click on Apply to know more.