Senior Software Engineer - Agentic AI at Kalderos

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

Bachelor’s or Master’s (PhD a plus) in Computer Science, Engineering, or related field
5+ years building and deploying AI/ML systems (at least 2+ years with LLMs or agentic frameworks in production)
Proven track record building agentic patterns (ReAct, Agentic Loops), multi-agent systems, and graph-based orchestration engines
Proven experience with Python, LLM technologies, advanced prompt engineering, and agent workflows (LangGraph, LangChain, CrewAI), async programming (asyncio), and backend frameworks (FastAPI, Django)
Deep understanding of cloud AI platforms (AWS/Azure), containerization (Docker/Kubernetes), and CI/CD for ML ops
Demonstrated leadership in AI solution design, code and architecture reviews, and mentoring junior engineers
Experience with retrieval pipelines, vector databases, and cloud-native architectures
Proficient with full-stack AI development: APIs, microservices, data pipelines
Strong knowledge of MLOps tools, monitoring, versioning, and responsible AI
Excellent communication, influencing, and cross-team collaboration skills
Intellectual curiosity, a drive for innovation, and a passion for making an impact with AI
Highly Desired
Experience building enterprise agentic AI or autonomous workflow orchestration systems
Expertise with neural search, advanced RAG, and enterprise data integration
Certifications in AI/ML, cloud, or relevant technologies
Logistics/supply chain software experience is a strong plus

Responsibilities

Architect and lead development of advanced agentic AI systems using LangGraph or similar frameworks
Own the full model lifecycle: research, solution design, prototyping, optimization, testing, and production deployment
Lead and mentor the AI team, setting best practices for model quality, scalability, and responsible AI
Integrate LLMs with enterprise data, orchestration systems, and workflow automation (RAG, vector search, API development)
Collaborate with engineering, product, and business stakeholders to define AI-driven product features and roadmaps
Conduct technical reviews, establish coding standards, and ensure codebase robustness
Optimize AI infrastructure for performance, cost, and reliability (cloud, MLOps, container orchestration)
Champion innovation: stay ahead of industry trends, bring actionable insights and drive adoption of new AI technologies
Ensure AI model governance, fairness, and compliance with ethical/organizational standards

Skills

Key technologies and capabilities for this role

PythonLangGraphLangChainCrewAIFastAPIDjangoasyncioAWSAzureDockerKubernetesMLOpsCI/CDRAGvector searchprompt engineering

Questions & Answers

Common questions about this position

What is the salary and benefits like for this role?

The position offers a competitive salary and comprehensive benefits.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills are required for the Senior Software Engineer role?

Required skills include 5+ years building and deploying AI/ML systems with 2+ years in LLMs or agentic frameworks, proven experience with Python, LLM technologies, LangGraph/LangChain/CrewAI, async programming, and backend frameworks like FastAPI/Django, plus deep knowledge of cloud AI platforms, containerization, and MLOps.

What is the company culture like at Kalderos?

The company offers an inclusive, diverse, and collaborative team culture.

What makes a strong candidate for this position?

Strong candidates have a Bachelor’s or Master’s in Computer Science or related field, 5+ years in AI/ML with production LLMs/agentic systems, leadership experience mentoring engineers, and expertise in LangGraph, Python, cloud platforms, and MLOps; highly desired are enterprise agentic AI experience and logistics/supply chain knowledge.

Kalderos

Optimizes drug discount management platform

About Kalderos

Kalderos provides a platform designed to improve the management of drug discounts in the healthcare sector. This platform helps healthcare providers and pharmaceutical manufacturers accurately manage discount claims and avoid duplicate discounts. By using data analytics and machine learning, Kalderos simplifies the complicated process of drug discount management, making it more efficient and clear. Clients subscribe to the service, paying for access to the platform and its features, which include real-time data validation, detailed reporting tools, and automated compliance checks. These features assist clients in saving time and minimizing financial risks related to drug discount programs. Kalderos primarily serves large healthcare systems and pharmaceutical companies in the United States.

Chicago, IllinoisHeadquarters

2016Year Founded

$48.6MTotal Funding

LATE_VCCompany Stage

Consulting, AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Paid Vacation

Phone/Internet Stipend

Commuter Benefits

Home Office Stipend

Risks

Strategic shifts by new CSO Daryl Todd may disrupt existing operations.

Involvement in Arkansas litigation could lead to legal challenges or reputational damage.

Accountant shortage in the U.S. may impact Kalderos' financial reporting capabilities.

Differentiation

Kalderos offers a unique SaaS-based drug discount management solution.

The platform uses machine learning to detect inconsistencies in drug discount claims.

Kalderos provides real-time data validation and automated compliance checks.

Upsides

Growing demand for AI-driven compliance solutions in healthcare boosts Kalderos' market potential.

Expansion of 340B program compliance needs increases demand for Kalderos' services.

Collaboration opportunities with hospitals enhance Kalderos' drug discount management capabilities.

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