Acuvate
Website:
acuvate.com
Job details:
About the Role
We are seeking a highly skilled Agentic AI Developer to design, build, and deploy intelligent multi-agent systems powered by large language models (LLMs). The ideal candidate will have strong expertise in modern agentic frameworks and experience building scalable, production-grade AI applications.
You will work on advanced AI solutions that automate complex workflows, enable autonomous decision-making, and integrate seamlessly with enterprise systems.
Key Responsibilities
- Design, develop, and deploy agent-based AI systems using state-of-the-art frameworks.
- Build autonomous and collaborative AI agents for task planning, reasoning, and execution.
- Implement multi-agent architectures, tool use, memory, and workflow orchestration.
- Integrate LLMs with external systems, APIs, and databases.
- Optimize performance, reliability, and scalability of agentic applications.
- Develop evaluation, monitoring, and governance mechanisms for AI agents.
- Collaborate with product, engineering, and data teams to deliver AI-driven solutions.
- Ensure compliance with security, privacy, and ethical AI standards.
- Maintain clear documentation and best practices for development and deployment.
Required Skills & Qualifications
- Strong proficiency in Python (primary) and/or JavaScript/TypeScript.
- Hands-on experience with agentic AI frameworks, including:
- LangChain / LangGraph
- AutoGen
- Semantic Kernel
- CrewAI
- LlamaIndex
- Haystack
- OpenAI Assistants / Agents APIs (or equivalent)
- Solid understanding of LLMs, prompt engineering, and reasoning techniques.
- Experience with tool calling, memory management, and agent coordination.
- Experience deploying AI systems in production environments.
- Strong problem-solving and system design skills.
- Excellent communication and teamwork abilities.
Preferred / Optional Skills
- Experience with cloud platforms: AWS, Azure, or GCP.
- Exposure to Microsoft Copilot Studio, AI Foundry, or Azure AI Services.
- Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus, Chroma).
- Experience with Retrieval-Augmented Generation (RAG).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Experience with MLOps and CI/CD pipelines.
- Knowledge of frontend frameworks for AI interfaces.
Technical Competencies
- Multi-agent system design and orchestration
- Autonomous planning and execution
- Tool and API integration
- Workflow automation
- Memory and context management
- Evaluation and observability of AI systems
- Responsible AI and governance practices
Education & Experience
- Bachelor’s or master’s degree in computer science, AI, Data Science, or related field (or equivalent experience).
- 3+ years of experience in AI/ML or software engineering.
- Demonstrated experience delivering agent-based or LLM-powered applications.
Nice to Have
- Research or open-source contributions in AI/agent frameworks.
- Experience in regulated industries (finance, healthcare, telecom, etc.).
- Knowledge of reinforcement learning or cognitive architectures.
- Experience with enterprise workflow automation.
What We Offer
- Opportunity to work on cutting-edge agentic AI systems.
- High-impact role in AI-driven transformation.
- Competitive compensation and benefits.
- Learning and certification support.
- Flexible work arrangements.
Click on Apply to know more.