Tools And Automation Engineer in Hyderabad

Opportunity Overview: As a member of the Solutions Configuration Management team you will be contributing to the analysis, documentation, implementation and maintenance of the configurations needed to enable Cohere Health solutions to meet the needs of our customers. You’ll work closely with members of the Product, Engineering, Implementation, and Testing teams to scope, document, implement and deliver configuration items (CIs) needed to meet the requirements as part of the implementation and maintenance of our solutions. What you’ll do: Own the execution of configuration deliverables for assigned projects, including client implementations and launches Analyze requirements and translate them into scalable configuration solutions Create and maintain clear documentation, including configuration specifications and standard operating procedures Collaborate with Product, Engineering, Implementation, and Testing teams to ensure configurations meet client and system requirements Validate and troubleshoot configurations in partnership with QA and testing teams Manage configuration items (CIs) throughout their lifecycle, ensuring timely and accurate delivery Required Qualifications: Must-haves 2+ years of professional experience in a Configuration role Hands-on experience working with structured data formats (JSON, XML) Familiarity with APIs Experience troubleshooting configuration issues in production or pre-production environments Experience working with ticketing systems (Jira, ServiceNow, etc.) Strong written and verbal communication skills in English, with the ability to clearly document technical configurations and decisions Experience with project management Experience with data exchange/transformation and/or integration/interoperability analysis and implementation Proven experience in Excel, including advanced functions and data analysis Knowledge of version control systems Knowledge of configuration management tools Self-starter, able to work independently, able to

Opportunity Overview: We are seeking a Financial Analyst to join our FP&A team. This is a hands-on, detail-oriented role embedded within our Commercial organization. The right candidate brings sharp analytical instincts, a bias for action, and the ability to deliver reliable financial support at a pace that keeps up with a fast-moving sales team and pricing leader What you’ll do: Develop, maintain, and utilize pricing models to forecast profitability, revenue impact, and margin changes Analyze the cost impact of process and product improvements, incorporating them into financial and pricing models Partner with Commercial, Clinical/Operations, and Actuarial teams to develop comprehensive pricing models and present strategic summaries to executive leadership Review and approve deal opportunities, RFP responses, custom pricing structures, and discounting frameworks Gather and compile data points from internal systems to monitor financial performance, metrics, and client profiles Assist with organization-wide strategic projects and provide scenario modeling, serving as the subject matter expert for pricing strategy and inputs Support budget and forecast preparation for the sales and marketing organizations — partnering with the team to build credible, data-backed plans Utilize Adaptive Insights (Workday Adaptive Planning) to manage planning cycles, scenario modeling, and financial reporting with efficiency and accuracy Apply AI-powered analytics tools to automate routine tasks, surface insights faster, and continuously elevate the quality of financial outputs ISMS roles and responsibilities Fair understanding of Information Security practices. Align to the organization policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications: Must-haves 3–6 years of pricing, commercial finance, or operations finance experience; healthcare, BPO, or technology-enabled services industry background preferred Adva

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality