Full Stack GenAI Engineer

Job Description :

Design scalable and robust GenAI architectures using LLMs multimodal models and retrieval-augmented generation (RAG).

Fine-tune foundation models using domain-specific data.

Implement prompt engineering instruction tuning and reinforcement learning from human feedback (RLHF).

Integrate GenAI capabilities into enterprise platforms using APIs SDKs and orchestration tools.

Implement responsible AI practices including bias detection hallucination mitigation and explainability.

Monitor and optimize model performance latency and cost.

Use techniques like quantization distillation and caching to improve efficiency.

Stay ahead of GenAI trends and emerging technologies.

Drive experimentation with new models agents and frameworks (e.g. LangChain LlamaIndex OpenAI Anthropic etc.).

Ensure compliance with data privacy security and regulatory standards.

Evaluate and select appropriate model types (open-source vs proprietary) based on business needs.

Lead hands-on solution evaluations prototypes and proofs of concept especially for initiatives involving AI GenAI and emerging technologies

Make informed architectural trade-offs based on business needs performance cost and long-term maintainability

Contribute reusable patterns and documentation that support solution delivery across teams

Stay informed on trends in cloud services architecture frameworks and GenAI tooling.

Full Stack 5 years Java / Python CI / C pipelines must

Atleast 2 years should be with Gen AI tools and framework.

AWS - Must

10 years of software engineering and development experience

Proven experience in building and deploying GenAI applications in production.

Strong programming skills in Python / JAVA and familiarity with GenAI libraries (Transformers LangChain Hugging Face etc.).

Deep understanding of LLMs embeddings vector databases (e.g. FAISS Pinecone Weaviate).

Experience with cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).

Familiarity with CI / CD for ML workflows and versioning tools like MLflow or DVC.

Knowledge of prompt engineering few-shot learning and agent-based systems.

Hands-on experience designing and building cloud-native solutions (preferably on AWS)

Experience with modern architecture styles : microservices APIs event-driven systems

Strong ability to articulate technical solutions trade-offs and system behavior to both technical and non-technical stakeholders

Bonus if you have (Preferred) :

Exposure to GenAI tools and frameworks (e.g. LLMs vector databases prompt orchestration LangChain Bedrock)

Familiarity with AWS AI / ML services (e.g. SageMaker Bedrock Comprehend Lex)

AWS AI certification

Financial Services experience

Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development Projects Requirements Analysis Software Design Software Implementation Efficient Build Release Process and turnkey software V & V Services. We have more than 20 years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment connected vehicles Cyber security OTA and Advanced Safety / Body electronics.

Key Skills

Abinitio,Administration And Accounting,Android,Bid Management,Inventory Management,Embedded C

Employment Type : Full Time

Experience : years

Vacancy : 1