Gen AI Engineer
- Grid Dynamics
- 2 - 6 years
- Hyderabad
- 4 months ago
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Job Description
Generative AI (Minimum Requirements):- Strong understanding of LLMs, agent architectures, generative pipelines.
- Proven experience in delivering AI solutions in enterprise setting.
- Hands-on with backend engineering: Python/Node.js, &REST APIs.
- Familiar with prompt engineering, model fine-tuning, and retrieval-augmented generation (RAG)
- Excellent communication skills with business and technical stakeholders
- Hands-on experience with LangGraph or similar AI agent frameworks
- Proficiency with LlamaIndex, LangChain, or equivalent data processing libraries
- Experience with vector databases (Pinecone, Weaviate, Chroma, etc.)
- Working knowledge of multiple LLMs and their APIs (OpenAI GPT, Gemini, Claude)
- Experience with LLM observability tools (LangSmith, Weights & Biases, etc.)
- Experience developing RAG (Retrieval-Augmented Generation) chatbots
- Experience with coding agents and code generation systems
Traditional AI/ML:
- Strong foundation in clustering, regression, classification, and forecasting
- Proficiency with scikit-learn, PyTorch, TensorFlow
- Experience with statistical analysis and experimental design
- Knowledge of feature engineering and data preprocessing techniques
- Understanding of multimodal AI.
Good to Have:
- Experience onAWS Bedrock/SageMaker
- Fine-tuning experience with LLMs, rerankers, or embedding models
- Self-hosting and deployment of open-source LLMs
- Experience with BERT, transformer architectures, or computer vision models (YOLO)
- MLOps experience with MLflow, Weights & Biases, or TensorBoard
- AWS Cloud platform certifications
- Fine-tuning tools: LoRA, QLoRA, PEFT
- Experience in building LLM BI solutions (natural language to SQL)
- Prior experience working on projects with a lot of PII data or working in Financial Services industry is a "Plus".
- Experience with multimodal AI systems combining text, image, and speech
- Familiarity with AI Ethics, Safety , and Responsible AI Frameworks
- Contributions to open-source AI projects or community involvement
Qualifications
Traditional AI/ML:
- Strong foundation in clustering, regression, classification, and forecasting
- Proficiency with scikit-learn, PyTorch, TensorFlow
- Experience with statistical analysis and experimental design
- Knowledge of feature engineering and data preprocessing techniques
- Understanding of multimodal AI.
Would be a plus
Good to Have:
- Experience onAWS Bedrock/SageMaker
- Fine-tuning experience with LLMs, rerankers, or embedding models
- Self-hosting and deployment of open-source LLMs
- Experience with BERT, transformer architectures, or computer vision models (YOLO)
- MLOps experience with MLflow, Weights & Biases, or TensorBoard
- AWS Cloud platform certifications
- Fine-tuning tools: LoRA, QLoRA, PEFT
- Experience in building LLM BI solutions (natural language to SQL)
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: Grid DynamicsLocation(s): Hyderabad+ View Contact
Keyskills: Computer vision Backend Statistical analysis Coding Data processing Medical insurance Open source Forecasting Financial services SQL
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About Us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business tran...
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