AI Developer- Agentic Systems
New York city New York 10175 (Hybrid)
Rate: $75/hr (Can go bit higher for right resource)
Note: Look for Sr and strong resource.
JOB DESCRIPTION
AI Developer- Agentic Systems and LLM Engineering
In this role, we are seeking a highly skilled AI Developer to design and build next-generation agentic AI systems that can reason, plan, and act autonomously. This role sits at the intersection of LLM engineering, system design, and applied AI, with a strong focus on building scalable, production-grade intelligent agents.
You will work closely with prompt engineers, data scientists, and platform teams to develop AI components that leverage retrieval-augmented generation (RAG), memory systems, and tool integration frameworks.
Responsibilities:
Agentic AI Development
Design and build AI agents capable of reasoning, planning, and executing tasks autonomously
Develop modular agent components (planners, executors, evaluators, orchestrators)
Implement multi-step workflows combining LLMs with external tools and APIs
Framework & System Design
Build and extend agent frameworks for orchestration, chaining, and decision-making
Develop memory systems (short-term and long-term) to improve agent context retention
Implement tool-use capabilities, enabling agents to interact with databases, APIs, and enterprise systems
RAG & Knowledge Systems
Design and implement Retrieval-Augmented Generation (RAG) pipelines
Work with embeddings and vector databases to enable semantic search and contextual reasoning
Optimize document ingestion, chunking, indexing, and retrieval strategies
Collaboration & Integration
Collaborate with prompt engineers to refine prompts, evaluation strategies, and agent behaviors
Work with cloud and platform teams to deploy scalable AI services
Integrate AI solutions into enterprise workflows and applications
Minimum Qualifications
Technical Skills
Strong programming expertise in Python
Hands-on experience with LLMs and agentic frameworks (e.g., LangChain, Semantic Kernel, or similar)
Solid understanding of:
Embeddings and vector databases (e.g., Pinecone, FAISS, Azure AI Search)
RAG architectures and pipelines
Prompt engineering and evaluation techniques
Cloud & Infrastructure
Good understanding of the Azure cloud ecosystem, including:
Azure OpenAI Service
Azure Functions / App Services
Azure AI Search or equivalent services
Experience deploying scalable AI/ML solutions in cloud environments
System Thinking
Ability to design modular, scalable, and reusable AI components
Understanding of state management, memory architectures, and agent orchestration
Strong problem-solving and analytical thinking
Ability to work in a cross-functional, fast-paced environment
Clear communication skills to collaborate with both technical and non-technical stakeholders
Qualifications/ Skills
Experience building multi-agent systems
Familiarity with evaluation frameworks for LLMs (hallucination detection, response quality, etc.)
Exposure to MLOps / LLMOps practices
Knowledge of API integrations and microservices architecture
Experience in enterprise AI deployments (banking, risk, or financial services preferred)
Contributions to open-source AI/LLM projects
Familiarity with agent evaluation benchmarks and guardrails
ABOUT US
Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data.
With an effort to enable our customers the ability to solve biggest problems within their organization.We perceive our clients problems and respond with custom solutions instead of handing over boilerplate responses.
OUR MISSION
Customer Focus: We listen carefully to the needs of our clients so that we know what s important for their business and can design a customized solution for their business.
Innovation: As a firm, we believe in constantly upgrading ourselves and improving our solutions to adapt to the changing landscape of technology.
Accountability and Ethics: We believe in taking our commitments as seriously as our customers and living up to them while building trust for a long term business relationship.
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