Job Description

US, GC only no subs or sponsorship possible contract to hire. 

**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**

NOT Looking for:
We are not looking for candidates whose primary experience is in data analytics or traditional machine learning (e.g., regression, classification) without significant exposure to Generative AI.

Job Title: Senior Developer
Duties: Responsible for analysis, design, programming, and implementation of the most complex applications tasks and projects in the area. Devise feasible, logical procedures to resolve business problems through the use of computer resources. Formulate scope and objectives through research to develop or modify complex systems. Provide technical direction and support in the development and support of business systems software and procedures. Design, code, test and debug the most complex application programs.
20% Provide expertise regarding the integration of applications across the business. Conceive, design, and implement structures and programs to business systems software.
15% Act as an internal consultant, advocate, mentor, and change agent providing expertise and technical guidance on complex projects. Work closely with customers, business analysts, and team members to determine business requirements that drive the analysis and design of quality technical solutions. Ensure solutions are aligned with business and IT strategies and comply with the organization’s architectural standards.
15% Provide design recommendations based on long-term IT organization strategy. Make recommendations towards the development of new code or reuse of existing code. Responsibilities may also include participation in component and data architecture design, performance monitoring, product evaluation and buy versus build recommendations.
15% Perform analysis, design, programming, and implementation on systems and procedures to solve complex business or scientific problems. Develop enterprise-level applications and custom integration solutions. Evaluate complex interrelationships in immediate programming area to determine how changes in one program will affect another related area.
15% Develop programming and development standards. Devise new sources of data and develop new approaches and techniques. Involved in the full systems life cycle and is responsible for designing, coding, testing, implementing, maintaining and supporting application software that is delivered on time and within budget.
15% Provide guidance to lower level programmers/analysts. Lead, plan, organize, and/or coordinate complex projects or phases of large projects. Determine and resolve problems with other systems analysts, programmers, and systems users.
5% Test designed programs, verify logic, perform any necessary "debugging," and write the documentation.

Skills: Minimum Required Skills and Abilities: Advanced understanding of applications/development, quality assurance and integration methodologies, concepts and facilities in a mainframe, midrange, and/or PC/LAN environment. Demonstrates a high level of technical proficiency in the areas of programming languages, platform capabilities, and methods of systems analysis and program design. Advanced analysis, decision-making, and problem solving skills. Demonstrates logical abstract thinking and assimilating/adhering to project goals and deadlines. Ability to communicate effectively verbally and in writing. Able to work well under pressure and as part of a team. Extensive knowledge of interpersonal skills/team building. Familiar with project management concepts. Ability to assess requirements, alternatives, and risks/benefits for low- to high-impact projects. Pays attention to detail. Ability to establish and maintain effective working relationships with employees, clients, vendors etc. In-depth understanding of organizational functions, behavior, and inter-relationships.

Minimum Required Software and Other Tools: Advanced knowledge of relevant operating systems, programming languages, and development tools and their usage in the company.

Work Environment :Customer-focused, project-oriented programming environment. Fast paced, multi-platformed environment which may require action and response 24X7 to support the technical business needs of the customer. ?
Keywords:
Education: Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree.

Degree Equivalency: 4 years of job related work experience or 2 years of job related experience plus an associate’s degree in Computer Science, Information Technology or other job related degree

Minimum Required Work Experience: 8 years-of application development, systems testing or other job related experience.

1 Opening - Senior Developer / AI Agentic Engineer
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed. Standard work hours: 8:00 AM – 5:00 PM
Will review remote candidates IF there are no local qualified candidates
**Credit check will be required**
No Clearance needed

Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 8 years-of application development, systems testing or other job related experience.

**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**

Required Technologies:
3–6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.

Python & AI/ML Libraries: Deep hands-on experience in Python for AI/ML development.
· Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
· Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
· Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Tech Stack-
1. Python
2. JavaScript/TypeScript
3. AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
4. AI Models (e.g. Claude, OpenAI, etc.)
5. AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
6. Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
7. Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
8. API Design

Nice to Have:
Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
· Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
· Experience developing autonomous agents using cloud-based AI services.
· Experience with prompt engineering techniques and model fine-tuning.
· Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
· Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.

Day to Day:
A typical day will involve a mix of hands-on coding, architectural design, and research. The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain. This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment. They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.

NOT Looking for:
We are not looking for candidates whose primary experience is in data analytics or traditional machine learning (e.g., regression, classification) without significant exposure to Generative AI.

Job Tags

Contract work, Work experience placement, Second job, Local area, Immediate start, Remote work, 3 days per week

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