Senior Embedded Software Engineer
apex-technology-inc
Software Engineer - Integration Specialist
scryai· Scry India
About this role
SCRY AI is an innovative AI-driven technology company focused on building intelligent, scalable, and high-performance solutions. We work with modern technologies across Software Engineering, AI/ML, and Data to solve real-world business problems and deliver impactful digital products. We are seeking a skilled Forward Deployed AI/ML Software Engineer with strong hands-on experience in Generative AI, RAG, LLMs, backend engineering, and Voice AI. The candidate should combine strong software engineering skills with practical AI/ML expertise and be comfortable working directly with customers to build, integrate, deploy, troubleshoot, and optimize production AI solutions across varied environments.
Key Responsibilities
- Design, develop, and deploy scalable GenAI and RAG applications using LLMs such as OpenAI, Claude, Llama, Qwen, and other open-source models.
- Build complete RAG pipelines including document ingestion, chunking, embeddings, vector databases, retrieval, reranking, prompt engineering, and response generation.
- Develop and integrate Voice Bot / Conversational AI solutions connecting ASR, LLM/SLM, TTS, telephony, APIs, and business workflows.
- Build robust Python backend services and APIs using frameworks such as FastAPI/Flask.
- Develop Agentic AI and workflow automation solutions using frameworks such as LangChain/LlamaIndex, including tool calling and external system integrations.
- Integrate AI applications with SQL/NoSQL databases, APIs, enterprise systems, and customer-specific data sources.
- Work directly with customers and stakeholders to understand requirements, troubleshoot issues, demonstrate solutions, and translate business needs into technical implementations.
- Take AI/ML solutions from POC to production, focusing on scalability, reliability, latency, monitoring, and maintainability.
- Deploy and troubleshoot AI applications using Docker across cloud, on-premises, and customer environments.
- Optimize AI applications for latency, throughput, cost, model performance, and resource utilization.
- Follow strong software engineering practices including Git, CI/CD, testing, logging, monitoring, code reviews, and documentation.
- Collaborate with Data Scientists, ML Engineers, Product, Infrastructure, and customer teams to deliver and support production-ready AI solutions.
Key Qualifications
- 3+ years of experience in Software Engineering, AI/ML Engineering, Data Science, or GenAI, with strong hands-on development experience.
- Strong proficiency in Python, backend development, and software engineering fundamentals.
- Strong hands-on experience building and deploying RAG-based applications and LLM solutions.
- Experience with LangChain, LlamaIndex, Hugging Face, vector databases, embeddings, reranking, or equivalent technologies.
- Good understanding of LLMs, prompt engineering, Agentic AI, tool calling, MCP, and workflow automation.
- Experience with Voice AI / Voice Bots, preferably including ASR, TTS, telephony, and real-time conversational pipelines.
- Experience with PostgreSQL/SQL, MongoDB, Redis, or similar databases, along with REST APIs and backend integrations.
- Strong experience with FastAPI/Flask, microservices, Docker, and backend architecture; Kubernetes is a plus.
- Experience with AWS/Azure/GCP and cloud or on-premises deployments.
- Knowledge of CI/CD, automated testing, Git, logging, monitoring, production debugging, and AI/ML inference optimization.
- Strong problem-solving, communication, customer-facing, and collaboration skills, with the ability to work independently in fast-paced environments.
Good to Have
- Experience with Kubernetes, cloud-native architectures, CI/CD, and production observability.
- Exposure to MCP, Agentic AI frameworks, AI evaluation, model optimization, and LLMOps/MLOps.
- Experience working with customer deployments, POCs, enterprise integrations, and troubleshooting in cloud/on-premises environments.
Frequently Asked Questions
Is the salary disclosed for the Software Engineer - Integration Specialist position at scryai?
The salary for this Software Engineer - Integration Specialist role at scryai is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Software Engineer - Integration Specialist position at scryai located?
This Software Engineer - Integration Specialist role at scryai is based in Gurugram, Haryana, India, Hyderabad, TG, India, Noida, UP, India, Pune, MH, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Software Engineer - Integration Specialist role at scryai full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Software Engineer - Integration Specialist role in the Scry India department at scryai.
Which team or department does the Software Engineer - Integration Specialist at scryai belong to?
This Software Engineer - Integration Specialist position is part of the Scry India department at scryai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Software Engineer - Integration Specialist position at scryai?
Click the "Apply Now" button on this page. You will be redirected to scryai's official application portal hosted on keka where you can submit your application directly.
When was the Software Engineer - Integration Specialist job at scryai posted?
This Software Engineer - Integration Specialist position at scryai was posted on Oct 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Software Engineer - Integration Specialist
scryai
You'll be redirected to scryai's official application page on keka.