Technical Lead (Enterprise AI Systems)
- Cognute
- 8 - 10 years
- Bengaluru
- 1 month ago
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Job Description
Job description
Technical Lead (Enterprise AI Systems)
We are seeking a Technical Lead to drive the design and development of our enterprise-grade AI product. This role requires a deep understanding of AI/ML systems, cloud-native architectures, and scalable software design. The applicant should have mandatorily worked on enterprise grade AI product or project for at least 2 - 3 years.
This role includes at least 50% hands on development, 30% LLD and the remaining 20% of HLD / Architecture. The role is on the technical career path and is NOT suitable for project managers, technical managers, engineering managers etc.
Key Responsibilities:
- Develop scalable, modular, and secure AI-driven software systems.
- Design APIs, microservices, and cloud infrastructure for AI workloads.
- Ensure seamless AI model integration and efficient scaling.
- Optimize performance & scalability of systems.
- Implement caching, load balancing, and distributed computing.
- Ensure security compliance (GDPR, SOC2) and secure data handling.
- Enforce best practices in authentication, encryption, and API security.
Mandatory Skills & Qualifications:
Experience: 8 - 10 years in software architecture & design, with at least 3+ years focused on AI/ML product design & development. Last 1 - 2 years should include deep Gen AI experience in enterprise grade AI projects or applications.
- Experience with design and developing applications with LLMs, RAG Applications, Gen AI Agents.
- Fine-tuning open-source LLMs.
- Experience with deploying and monitoring LLMs.
- Experience with LLM evaluation frameworks or tools like DeepEval, Langfuse or similar.
- Experience with frameworks like langchain, llamaindex, pydantic etc.
- Proficiency in RDBMS like PostgreSQL and knowledge of vector databases (eg: chromadb,Pinecone, FAISS, Weaviate).
- Strong background in microservices, RESTful & GraphQL APIs, event-driven architectures, Working experience with Kafka, RabbitMQ etc...
- Proficient in Python, Java for backend development
- Experience with TensorFlow, PyTorch, Hugging Face etc...
- Skilled in data processing (NumPy, Pandas, Dask,NLTK) and front-end (TypeScript, React.js).
- Experience in scalable AI systems, data pipelines, MLOps, and real-time inference.
- Strong understanding of security protocols, IAM, OAuth2, JWT, RBAC.
- Expertise in cloud platforms (AWS, GCP, Azure), Kubernetes, Docker.
- Hands-on experience with CI/CD (Eg: github,Jenkins etc...)
- Hands-on with system monitoring (Eg: ELK Stack,OpenTelemetry, Prometheus, Grafana).
Nice-to-Have Skills:
- Ensuring AI model interpretability, fairness, and bias mitigation strategies.
- Optimizing model inference using quantization, distillation, and pruning techniques.
- Experience in deploying AI models in production at scale, including MLOps best practices.
- Designing AI systems with privacy-preserving techniques (differential privacy, homomorphic encryption etc.).
- Experience with knowledge graph-based AI applications.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full timeContact Details:
Company: CognuteLocation(s): Bengaluru
Keyskills: Restfull Api Generative Ai Langchain Retrieval Augmented Generation Python Elk Postgresql Kafka Ci/Cd Security Microservices Numpy Docker Large Language Model Low Level Design Development React.Js Kubernetes
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