Artificial Intelligence Engineer
Artificial Intelligence Engineer
gac solutions- Posted 21 hours ago
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Job Description
Role: AI Engineer
Location: India
Required Skills:
- 8+ years of professional experience in consulting, professional services, strategy, transformation, AI, data, analytics, or related client-facing roles.
- 3+ years of experience shaping or delivering AI, data science, machine learning, GenAI, agentic AI, analytics, or digital transformation initiatives. Experience may be demonstrated through client delivery, on-the-job AI work, a data science background, or an advanced degree.
- Demonstrated strategy acumen, including business model analysis, operating model design, value case development, transformation planning, and executive narrative development.
- Experience supporting presales activities such as opportunity identification, solution shaping, proposal development, business case creation, or executive-level deal reviews.
- Working knowledge of enterprise AI concepts, including LLMs, AI agents, RAG, ML lifecycle, data readiness, responsible AI, governance, and adoption considerations.
- Bachelor's degree or equivalent work experience.
More Info
Key Skills
GenAI
agentic AI
LLMs
responsible AI governance
AI data analytics
ML lifecycle
enterprise AI concepts
RAG
AI agents
data readiness
About Company
Skills:
Sql, Git, Docker, API development and integration, Rest Apis, Python, tool function calling, vector databases, prompt engineering, LLM APIs, workflow automation, RAG, AI evaluation, SDKs, agent orchestration, observability
Skills:
Sql, Rest Apis, Python, LangChain, vector search, Generative AI, AWS Bedrock, AI Agents, embeddings vector databases, Amazon Bedrock Knowledge Bases, Gen AI, LangGraph, data-processing, LlamaIndex, Prompt Engineering
Skills:
Aws Lambda, Rest Apis, Python, LangChain, Generative AI, AI Agents RAG pipelines, prompt engineering, LangGraph, Vector Databases, LLM applications, Agentic AI, MLOps practices, LLM optimization techniques, microservices architecture, AWS SageMaker, Amazon Bedrock, Embedding Models, model deployment strategies
Skills:
Apis, Power Platform, Enterprise Application Integration, automation, Python, Generative AI, LLMs, prompt engineering, RAG, AI agents, Azure AI, Microsoft AI, Copilot Studio
Skills:
FastAPI, Python, Agent harnessing, GenAI technologies, Scalable backend systems, AI agent development, Agentic AI suite, Agent deployment